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410 Data files visible to you, out of a total of 450
No description specified

Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Creators: None

Submitter: Franz Förster

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Lisa's liver timor data file in CSV format

Creators: Mona Perbix, Dr. Janus Knop

Submitter: Matthias Löbe

Data file type: Clinical Data

Human Diseases: liver disease, liver cancer

No description specified

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

No description specified

Creator: Mona Perbix

Submitter: Matthias Löbe

Data file type: Not specified

Meibomian glands (MGs), specialized sebaceous glands embedded in the eyelids, are an integral component of the ocular defense system, as their oily secretion product, meibum, is essential for protecting the eye surface. In spite of its importance for ocular health, the transcriptional changes that lead to meibum production by MG acinar cells (meibocytes) have not been characterized in a systematic way so far. By combining spatial transcriptomics (ST), pseudotime, and functional enrichment analysis, ...

Creators: None

Submitter: Henry Löffler-Wirth

Data file type: Transcriptomic Data

The lipid-secreting sebaceous glands (SG) are indispensable for maintaining skin structure and function, and may influence whole body’s energy metabolism. SG deregulation is also associated with a number of skin disorders, including but not limited to acne. Here, we exploit the high cellular resolution provided by sebaceous hyperplasia to spatially characterize the human SG transcriptional program. By integrating single-cell spatial transcriptomics, pseudotime analysis, RNA velocity, and functional ...

Creators: Maria Schmidt, Henry Löffler-Wirth, Hans Binder, Marlon Schneider

Submitter: Henry Löffler-Wirth

Data file type: Transcriptomic Data

...to be opened and analysed by 3LGM² Tool (https://www.3lgm2.de/en/Tool/index.jsp )

Creator: Alfred Winter

Submitters: Sebastian Stäubert, Alfred Winter

Data file type: Not specified

A set of MATLAB functions related to the grading platform EarlyAMDRate for AMD lesions in OCT images, including test examples.

Creators: None

Submitter: Marcus Wagner

Data file type: Not specified

No description specified

Creators: None

Submitter: Henry Löffler-Wirth

Data file type: Transcriptomic Data

There are 5 questionnaires for the LeukoExpert Project:

  • basic data
  • medical history
  • examination sheet
  • mri
  • genetics

Creators: None

Submitter: Lars Hempel

Data file type: Clinical Data

Cheng JB, Sedgewick AJ, Finnegan AI, Harirchian P, Lee J, Kwon S, Fassett MS, Golovato J, Gray M, Ghadially R, Liao W, Perez White BE, Mauro TM, Mully T, Kim EA, Sbitany H, Neuhaus IM, Grekin RC, Yu SS, Gray JW, Purdom E, Paus R, Vaske CJ, Benz SC, Song JS, Cho RJ. Transcriptional Programming of Normal and Inflamed Human Epidermis at Single-Cell Resolution. Cell Rep. 2018 Oct 23;25(4):871-883. doi: 10.1016/j.celrep.2018.09.006. PMID: 30355494; PMCID: PMC6367716.

European Genome-Phenome Archive ...

Creators: None

Submitter: Torsten Thalheim

Data file type: SOM Data

Cheng JB, Sedgewick AJ, Finnegan AI, Harirchian P, Lee J, Kwon S, Fassett MS, Golovato J, Gray M, Ghadially R, Liao W, Perez White BE, Mauro TM, Mully T, Kim EA, Sbitany H, Neuhaus IM, Grekin RC, Yu SS, Gray JW, Purdom E, Paus R, Vaske CJ, Benz SC, Song JS, Cho RJ. Transcriptional Programming of Normal and Inflamed Human Epidermis at Single-Cell Resolution. Cell Rep. 2018 Oct 23;25(4):871-883. doi: 10.1016/j.celrep.2018.09.006. PMID: 30355494; PMCID: PMC6367716.

European Genome-Phenome Archive ...

Creators: None

Submitter: Torsten Thalheim

Data file type: SOM Data

Group Overexpression Spot J from Cheng oposSOM. Most of the samples in this spot are SG cells

Creators: None

Submitter: Torsten Thalheim

Data file type: Other OMICs Data

Group Overexpression Spot K from Joost oposSOM. Most of the samples in this spot are SG cells

Creators: None

Submitter: Torsten Thalheim

Data file type: Other OMICs Data

Joost S, Zeisel A, Jacob T, Sun X, La Manno G, Lönnerberg P, Linnarsson S, Kasper M. Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity. Cell Syst. 2016 Sep 28;3(3):221-237.e9. doi: 10.1016/j.cels.2016.08.010. Epub 2016 Sep 15. PMID: 27641957; PMCID: PMC5052454

GEO the accession number: GSE67602

Creators: None

Submitter: Torsten Thalheim

Data file type: SOM Data

Extended table 3 including Ensembl identifier of peroxisomal transcripts (GO:0005777) upregulated in human and mouse sebaceous gland cells.

Creators: None

Submitter: Torsten Thalheim

Data file type: SOM Data

Extended table 1 including Ensembl identifier for transcripts jointly upregulated in human and mouse sebaceous gland cells.

Creators: None

Submitter: Torsten Thalheim

Data file type: SOM Data

Data used in following publication: https://doi.org/10.1002/oby.23882

Creators: None

Submitter: Katrin Horn

Data file type: Genomic Data

SCALE-TORT database contains a total of 226 FP/IR paired arterial vessel curves and 245 FP/IR paired vein vessel curves, all 471 paried curves where semiautomatically extracted from the original images.

  1. Folder 'im_arteries' with: 1.1 226 croped images from FP of retinal arteries 1.2 226 croped images from IR of retinal arteries
  2. Folder 'im_veins' with: 2.1. 245 croped images from FP of retinal veins 2.2. 245 croped images from IR of retinal veins
  3. Matlab structure for arteries annotations ...

Creators: None

Submitter: Zian Fanti Gutiérrez

Data file type: Clinical Data

Human Diseases: hypertension

No description specified

Creators: None

Submitter: Henry Löffler-Wirth

Data file type: Not specified

No description specified

Creators: None

Submitter: Henry Löffler-Wirth

Data file type: Not specified

No description specified

Creators: None

Submitter: Henry Löffler-Wirth

Data file type: Not specified

Allgemein

Es sind 165 neue Patienten mit den gleichen Patientendaten, aus denen der Datensatz POLAR_WP_1.1_v2 generiert wurde, nur dass zusätzlich jede Condition eine Referenz zum Encounter hat. Da der Encounter selbst auch eine Referenz auf die Condition hat, gibt es hier eine Kreisreferenz, deren Upload einige FHIR-Server ablehnen (z.B. Vonk).

POLAR_WP_1.1_v4a_ReferencesConditionsToEncounter

=

Condition : 330 Consent : 100 Encounter : 330 Medication : 10 MedicationAdministration : 165 ...

Creator: Alexander Strübing

Submitter: Alexander Strübing

Data file type: Clinical Data

Dies sind die originalen Polar-Testdaten. Die Patienten sind aus echten Fällen abgeleitet. 61 Patienten (Patient)

  • mit jeweils 1 Einrichtungskontakt (Encounter) und jeweils 1 - 3 Abteilungskontakten (Encounter)
  • mit Diagnosen (Condition)
  • mit Laborwerten (Observation)
  • mit Vitalwerten (Observation)
  • mit Prozeduren (Procedure)
  • mit Medikation (Medication, Medication Administration, Medication Statement)

Condition : 270 Encounter : 129 Medication : 242 MedicationAdministration : 165 ...

Allgemein

Alle einzelnen Datensätze sind aufgeteilt in jeweils (maximal) 1000 Patienten, die jeweils als json.zip und ndjson verfügbar sind. Die json.zip und ndjson beinhalten jeweils bis zu 1000 Transaktion-Bundles mit jeweils 1 Patienten. Die gleichnamige Excel-Datei ist die Vorlage zum Generieren JSON-Dateien.

VHF-Testdaten_01

Ursprüngliche Vorhofflimmern (VHF) Testdaten sind Patienten

  • unterschiedlichen Alters (17 bis 83 Jahre, davon 3300 Patienten mit Alter > 65 Jahre)
  • mit ...

Creators: None

Submitter: Alexander Strübing

Data file type: Not specified

Allgemein

Datensatz zum Testen der Polar Workpackages, die jeweils als json.zip und ndjson verfügbar sind. Die json.zip und ndjson beinhalten jeweils bis zu 1000 Transaktion-Bundles mit 1 Patienten. Die gleichnamige Excel-Datei ist die Vorlage zum Generieren JSON-Dateien.

POLAR_WP_1.x_v1_MixedTestCasesForAllWorkpackages

Der Datensatz enthält Testfälle für alle Workpackages. Er wird nach Bedarf immer wieder erweitert.

Creators: None

Submitter: Alexander Strübing

Data file type: Clinical Data

Achtung

DIESE DATEN SIND NICHT KDS-KONFORM. DER VALIDATOR WÜRDE SIE ABLEHNEN.

Sie werden aber zum Testen gebraucht, da einige DIZ-FHIR-Server anscheinend mit solchen unvalidierten Daten bespielt wurden.

Allgemein

Es sind 165 neue Patienten mit den gleichen Patientendaten, aus denen der Datensatz POLAR_WP_1.1_v2 generiert wurde, nur dass hier jede Condition eine Referenz zum Encounter hat, aber der Encounter keine Referenz auf die Condition. Die letzte der beiden Referenzen müsste aber auf ...

Creators: None

Submitter: Alexander Strübing

Data file type: Clinical Data

Allgemein

Es sind 70 neue Patienten mit den gleichen Patientendaten, aus denen der Datensatz POLAR_WP_1.1_v2 generiert wurde. Jeder Patient hat entweder 2 oder 4 Encounter, wobei einer immer ein Einrichtungskontakt ist und ein weiterer Encounter als Part-Of ein Abteilungskontakt. Die beiden zusammengehörigen Encounter haben immer dieselben Start- und Endzeiten. Die zusätzlichen Encounter sind alle mit einer jeweils einer Diagnose verbunden, die im Polar Workpackage 1.1 nicht relevant sind. ...

Creators: None

Submitter: Alexander Strübing

Data file type: Clinical Data

Allgemein

Datensätze sind aufgeteilt in jeweils 1650 Patienten, die jeweils als json.zip und ndjson verfügbar sind. Die json.zip und ndjson beinhalten jeweils 1000 Transaktion-Bundles mit 1 Patienten. Die gleichnamige Excel-Datei ist die Vorlage zum Generieren JSON-Dateien.

POLAR_WP_1.1_v2

Generierte Daten aus im Grunde nur 165 Patienten (für jede Diagnose 1 Patient), die verhundertfacht wurden. Details siehe unten.

165 verschiedene Patienten (Patient)

  • mit jeweils 1 Einrichtungskontakt ...

Creators: None

Submitter: Alexander Strübing

Data file type: Not specified

Image of main FHIR resources with core data set (KDS) compliant linking.

Creators: None

Submitter: Alexander Strübing

Data file type: Image Data

No description specified

Creators: None

Submitter: Katrin Horn

Data file type: Not specified

For our R-based workflow on GitHub pulmonologists_interspecies_scRNA, we here provide the processed resulting annotated integrated Seurat file.

References for original datasets :

Human Charité: Hocke A, Hönzke K, Obermayer B, Baumgardt M, Wyler E, Hippenstiel S, Mache C. Charité Berlin /Berlin Institute of Health. GEO accessions GSM5958267, GSM5958272, GSM5958283, GSM5958285

Human Travaglini et al.: published at ...

Creators: None

Submitter: Holger Kirsten

Data file type: Transcriptomic Data

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

This workspace contains all data generated by the combiSOM analysis of patient-matched gene expression, DNA-methylation and copy number variation (CNV) of 121 lower grade glioma (LGG) specimen.

Creators: None

Submitter: Henry Löffler-Wirth

Data file type: SOM Data

No description specified

Creator: Mona Perbix

Submitter: Mona Perbix

Data file type: Not specified

No description specified

Creator: Mona Perbix

Submitter: Mona Perbix

Data file type: Not specified

No description specified

Creator: Mona Perbix

Submitter: Mona Perbix

Data file type: Not specified

No description specified

Creators: None

Submitters: Matthias Löbe, Mona Perbix

Data file type: Not specified

This file contains the FHIR CapabilityStatement and FHIR Provenance ressources created within this use case in the local onFHIR store. It covers both #1 Characterization of multimorbidity patterns and association with health outcomes in the elderly and #2 Early prediction service for 30-days readmission risk in COPD patients.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

No description specified

Creator: Mona Perbix

Submitter: Mona Perbix

Data file type: Not specified

The dataset contains data from 1,313 patients. It is not available for download here, but registered in the FAIR4Health Platform portal.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

The dataset contains data from 244 patients. It is not available for download here, but registered in the FAIR4Health Platform portal.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

This file contains the FHIR CapabilityStatement and FHIR Provenance ressources created within this use case in the local onFHIR store.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

This file contains the FHIR CapabilityStatement and FHIR Provenance ressources created within this use case in the local onFHIR store.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

The dataset contains data from 3,786 patients. It is not available for download here, but registered in the FAIR4Health Platform portal.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

This file contains the FHIR CapabilityStatement and FHIR Provenance ressources created within this use case in the local onFHIR store.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

The dataset contains data from 331 patients. It is not available for download here, but registered in the FAIR4Health Platform portal.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

This file contains the FHIR CapabilityStatement and FHIR Provenance ressources created within this use case in the local onFHIR store.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

The dataset contains data from 5,812 patients. It is not available for download here, but registered in the FAIR4Health Platform portal.

Creators: None

Submitter: Matthias Löbe

Data file type: Not specified

The image shows a matrix view of the inter-level relationships between the domain and logical layer. The enterprise functions are shown in the rows and the application systems are shown in the columns. If an enterprise function is executed by an application system, the respective entry is marked.

Creators: None

Submitter: Mona Perbix

Data file type: Not specified

Input Files for Manuscript "A pulmonologist’s guide to perform and analyse cross-species single-lung-cell transcriptomic"

See https://github.com/GenStatLeipzig/pulmonologists_interspecies_scRNA for details.

Manuscript authored by:

Peter Pennitz1,2*, Holger Kirsten3*, Vincent D. Friedrich3,4, Emanuel Wyler5, Cengiz Goekeri1,2,6, Benedikt Obermayer7, Gitta A. Heinz8, Mir-Farzin Mashreghi8,9, Maren Büttner10,11 Jakob Trimpert12, Markus Landthaler5,13, Norbert Suttorp2, Andreas C. Hocke1,2, Stefan ...

Creators: None

Submitter: Holger Kirsten

Data file type: Not specified

No description specified

Creators: None

Submitter: Katrin Horn

Data file type: Not specified

No description specified

Creators: None

Submitter: Katrin Horn

Data file type: Not specified

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creators: Alexandr Uciteli, Christoph Beger, Toralf Kirsten, Heinrich Herre, Franz Matthies, Ralph Schäfermeier

Submitter: Christoph Beger

Data file type: Not specified

Human Diseases: obesity, hypertension

BACKGROUND: The Generalized Anxiety Disorder Scales GAD-7 and GAD-2 are instruments for the assessment of anxiety. The aims of this study are to test psychometric properties of these questionnaires, to provide normative values, and to investigate associations with sociodemographic factors, quality of life, psychological variables, and behavioral factors. METHODS: A German community sample (n=9721) with an age range of 18-80 years was surveyed using the GAD-7 and several other questionnaires. ...

Creator: Andreas Hinz

Submitter: René Hänsel

Data file type: Clinical Data

BACKGROUND: The Pittsburgh Sleep Quality Index (PSQI) is frequently used to assess sleep problems in patients. The aim of this study was to provide reference values for this questionnaire, to test psychometric properties, and to analyze associations with psychological, sociodemographic, and behavioral factors. METHODS: A German community sample comprising 9284 adult residents (aged 18-80 years) was surveyed using the PSQI and several other questionnaires. RESULTS: According to the generally ...

Creator: Andreas Hinz

Submitter: René Hänsel

Data file type: Not specified

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Not specified

No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: Clinical Data

Human Diseases: lymphoma

Background/Objective: The Life Orientation Test-Revised (LOT-R) is often used to assess dispositional optimism. The aims of this study were to test psychometric properties of the LOT-R, to provide normative scores, and to test the association between optimism and several psychological, sociodemographic, and behavioral factors. Method: A randomly selected German general population community sample with an age range of 18-80 years (N = 9,711) was surveyed. Results: The Confirmatory Factor Analysis ...

Creator: Andreas Hinz

Submitter: René Hänsel

Data file type: Clinical Data

The goal of this study was to investigate to what extent body mass index (BMI), body height, body weight, breast-to-abdomen-ratio, testosterone, estradiol, dehydroepiandrosterone-sulfate (DHEA-S), folliclestimulating hormone, and luteinizing hormone are associated with the sound pressure level and the fundamental frequency of the speaking voice in a cross-sectional approach among adults in the general population.

Data for Publication: Jost L, et al; J Voice. 2017 Jul 21. pii: S0892-1997(17)30216-3. ...

Creators: Christoph Engel, Christoph Engel

Submitter: René Hänsel

Data file type: Clinical Data

PURPOSE: The Sniffin' Sticks Screening 12 test is a test of olfactory performance based on pen-like odor dispensing devices. The aims of this study were to analyze the performance of this test in a general population sample and to explore associations between olfactory dysfunction and quality of life. METHODS: A large community sample (n = 7267) completed the Sniffin' Sticks Screening 12 test and several questionnaires measuring quality of life, anxiety, dispositional optimism, social support, ...

Creator: Andreas Hinz

Submitter: René Hänsel

Data file type: Clinical Data

BACKGROUND:Animal experiments and studies in alcohol dependent patients indicate that ghrelin signaling in the brain is causally involved in the regulation of alcohol reward and intake. Increasing ghrelin levels enhances alcohol craving and intake, blocking ghrelin receptors abolishes these effects. If ghrelin is also involved in non-dependent alcohol consumption in humans, though, remains unknown. The aim was therefore to investigate the relationship between ghrelin serum levels and alcohol ...

Creator: Dirk Alexander Wittekind

Submitter: René Hänsel

Data file type: Clinical Data

trial data for the mental demandVariableMeaning Gender0=female1=maleMarital Status0 = married, living with partner1 = married and living separated, single, divorced, widowedEducation1 = low2 = medium3 = highEver_diabetes/ heart attack0 = no1 = yesDepression0 = no1 = yes

Creator: Christoph Engel

Submitter: René Hänsel

Data file type: Not specified

A total of 2695 individuals (age 40-79 years, 48% men) without prior diagnosis of diabetes and complete measurement of HbA1c, FPG, 2 h-PG and urine albumin-creatinine ratio (UACR) were taken from a large population-based epidemiological study in the City of Leipzig, Germany.

Diabetes screening strategies using glycated haemoglobin (HbA1c) as first-instance diagnostic parameter may cause failure to detect individuals with abnormal glucose regulation and possible signs of microvascular complications ...

Creator: Christoph Engel

Submitter: René Hänsel

Data file type: Clinical Data

OBJECTIVES: Although patients with depression often suffer from sleep disturbances, most of them are not sleepy. Upregulation of brain arousal has been proposed as pathophysiological mechanism explaining sleep disturbances, inner tension, autonomic hyperarousal and anhedonia in depression. The aim of the current study was to examine the association between night-time sleep disturbances and brain arousal regulation the next day in depressed versus non-depressed subjects. METHODS: Twenty-eight ...

Creator: Christian Sander

Submitter: René Hänsel

Data file type: Not specified

PURPOSE: Daytime sleepiness is associated with several medical problems. The aim of this paper is to provide normative values for one of the most often used questionnaires measuring daytime sleepiness, the Epworth Sleepiness Scale (ESS). METHODS: A large sample of 9711 people from the German general population took part in this study. In addition to the ESS, several other questionnaires were used, and sociodemographic and behavioral factors were recorded. RESULTS: Normative values for the ESS are ...

Creator: Christian Sander

Submitter: René Hänsel

Data file type: Clinical Data

BACKGROUND: The PHQ-15 is widely used as an open access screening instrument for somatic symptoms in different health care settings. The objectives of the study were to contribute to the construct validity and to generate normative data for the PHQ-15. METHODS: The survey was conducted in the general population in Germany from August 2011 to November 2014 (n=9250). All participants underwent an extensive core assessment including a set of questionnaires. RESULTS: Men reported significantly less ...

Creator: Andreas Hinz

Submitter: René Hänsel

Data file type: Clinical Data

Cognitive assessments comprised tests from the Consortium to Establish a Registry for Alzheimer's Disease (CERAD): verbal fluency (VF), word list learning and recall (WLL, WLR), and the Trail Making Tests (TMT) A and B. The "Sniffin' Sticks Screening 12" test was used to measure olfactory performance. Linear regression analyses were performed to determine associations between the number of correctly identified odors (0 to 12) and the five cognitive test scores, adjusted for sex, age, education, ...

Creator: Christoph Engel

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Not specified

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Christoph Engel

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: ODM Data

Human Diseases: lymphoma

No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: Clinical Data

Human Diseases: lymphoma

PURPOSE: The aim of this study was to test psychometric properties of the Satisfaction with Life Scale (SWLS), to provide normative values, and to analyze associations between life satisfaction and sociodemographic and behavioral data. METHODS: A German community sample (n = 9711) with an age range of 18-80 years was surveyed using the SWLS and several other questionnaires. Confirmatory factor analysis (CFA) was used to test the dimensionality of the SWLS. Invariance across gender and age groups ...

Creator: Andreas Hinz

Submitter: René Hänsel

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Christoph Engel

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: Clinical Data

Human Diseases: peripheral T-cell lymphoma

No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: ODM Data

Human Diseases: peripheral T-cell lymphoma

No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: Clinical Data

Human Diseases: peripheral T-cell lymphoma

No description specified

Creator: Christoph Engel

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

Summary statistics from GWAMA of PCSK9 levels. These data are intended for research purposes only, and available upon publication. For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de).

Citation: tba

When using this data acknowledge the source as follows: 'Data on PCSK9 has been downloaded from https://www.health-atlas.de/data_files/551'

We make three data sets available:

  1. Containing statistics ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Not specified

Human Diseases: atherosclerosis

We performed gene-expression profiling using Affymetrix U133A GeneChips with RNA from 220 mature aggressive B-cell lymphomas, including a core group of 8 Burkitt's lymphomas that met all World Health Organization (WHO) criteria. A molecular signature for Burkitt's lymphoma was generated, and chromosomal abnormalities were detected with interphase fluorescence in situ hybridization and array-based comparative genomic hybridization.

Creator: Michael Hummel

Submitter: Christoph Beger

Data file type: Genomic Data

Human Diseases: B-cell lymphoma

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed microarray-based genome- and transcriptome-wide molecular profiling of primary tumor samples from 137 patients with cerebral gliomas, 61 WHO grade II and 76 WHO grade III tumors.

Creators: Henry Löffler-Wirth, Markus Kreuz

Submitter: Christoph Beger

Data file type: Genomic Data

Human Diseases: brain glioma

We performed gene-expression profiling using Affymetrix U133A GeneChips with RNA from 873 biopsy specimens including diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), Burkitt’s lymphoma (BL), mixed FL/DLBCL lymphomas, primary mediastinal large B-cell lymphoma (PMBL), multiple myeloma (MM), IRF4-rearranged large cell lymphoma, MYC-negative high-grade B-cell lymphomas with Chr. 11q aberration pattern (mnBLL-11q), and Mantle cell lymphoma (MCL).

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

Data file type: Other OMICs Data

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed Methylation profiling of primary tumor samples from 122 patients with cerebral gliomas with WHO grade II and grade III tumors.

Creators: Hans Binder, Markus Kreuz, Henry Löffler-Wirth

Submitter: Christoph Beger

Data file type: Methylation Data

Human Diseases: brain glioma

Summary statistics from GWAMA of stigmasterol (stf_chf, free stigmasterol to free cholesterol; stt_cht, total stigmasterol to total cholesterol; stf_laf, free stigmasterol to free lanosterol; stt_laf, total stigmasterol to free lanosterol). These data are intended for research purposes only, and available upon publication. For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de).

Citation: tba

When ...

Creators: Katrin Horn, Markus Scholz, Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from GWAMA of stigmasterol (ste, esterified stigmasterol; stf, free stigmasterol; stt, total stigmasterol; stf_ste, free to esterified stigmasterol). These data are intended for research purposes only, and available upon publication. For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de).

Citation: tba

When using this data acknowledge the source as follows: 'Data on stigmasterol ...

Creators: Katrin Horn, Markus Scholz, Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from GWAMA of sitosterol (sif_chf, free sitosterol to free cholesterol; sit_cht, total sitosterol to total cholesterol; sif_laf, free sitosterol to free lanosterol; sit_laf, total sitosterol to free lanosterol). These data are intended for research purposes only, and available upon publication. For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de).

Citation: tba

When using this ...

Creators: Katrin Horn, Markus Scholz, Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from GWAMA of sitosterol (sie, esterified sitosterol; sif, free sitosterol; sit, total sitosterol; sif_sie, free to esterified sitosterol). These data are intended for research purposes only, and available upon publication. For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de).

Citation: tba

When using this data acknowledge the source as follows: 'Data on sitosterol has been ...

Creators: Katrin Horn, Markus Scholz, Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from GWAMA of campesterol (caf_chf, free campesterol to free cholesterol; cat_cht, total campesterol to total cholesterol; caf_laf, free campesterol to free lanosterol; cat_laf, total campesterol to free lanosterol). These data are intended for research purposes only, and available upon publication. For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de).

Citation: tba

When using ...

Creators: Katrin Horn, Markus Scholz, Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from GWAMA of campesterol (cae, esterified campesterol; caf, free campesterol; cat, total campesterol; caf_cae, free to esterified campesterol). These data are intended for research purposes only, and available upon publication. For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de).

Citation: tba

When using this data acknowledge the source as follows: 'Data on campesterol has been ...

Creators: Katrin Horn, Markus Scholz, Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from GWAMA of brassicasterol (brf_chf, free brassicasterol to free cholesterol; brt_cht, total brassicasterol to total cholesterol; brf_laf, free brassicasterol to free lanosterol; brt_laf, total brassicasterol to free lanosterol). These data are intended for research purposes only, and available upon publication. For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de).

Citation: ...

Creators: Katrin Horn, Markus Scholz, Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from GWAMA of brassicasterol (bre, esterified brassicasterol; brf, free brassicasterol; brt, total brassicasterol; brf_bre, free to esterified brassicasterol). These data are intended for research purposes only, and available upon publication. For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de).

Citation: tba

When using this data acknowledge the source as follows: 'Data on ...

Creators: Katrin Horn, Markus Scholz, Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

No description specified

Creator: Torsten Thalheim

Submitter: Torsten Thalheim

Data file type: Not specified

No description specified

Creator: Torsten Thalheim

Submitter: Torsten Thalheim

Data file type: Not specified

No description specified

Creator: Torsten Thalheim

Submitter: Torsten Thalheim

Data file type: Not specified

No description specified

Creator: Torsten Thalheim

Submitter: Torsten Thalheim

Data file type: Not specified

No description specified

Creator: Torsten Thalheim

Submitter: Torsten Thalheim

Data file type: Not specified

No description specified

Creator: Torsten Thalheim

Submitter: Torsten Thalheim

Data file type: Not specified

No description specified

Creator: Torsten Thalheim

Submitter: Torsten Thalheim

Data file type: Not specified

No description specified

Creator: Torsten Thalheim

Submitter: Torsten Thalheim

Data file type: Not specified

No description specified

Creator: Torsten Thalheim

Submitter: Torsten Thalheim

Data file type: Not specified

No description specified

Creator: Matthias Löbe

Submitter: Christoph Beger

Data file type: Not specified

A dataset with information on cancer history, mutation status and surveillance history for more than 100 000 study patients is provided in i2b2 (Informatics for Integrating Biology and the Bedside, http://www.i2b2.org/software). Members of the German Consortium for Hereditary Breast and Ovarian Cancer can request access to i2b2 and will be able to perform database queries independently, e.g. with regard to identify suitable patient populations for scientific evaluation projects.

Creators: Christoph Engel, Silke Zachariae

Submitter: René Hänsel

Data file type: Clinical Data

Human Diseases: hereditary breast ovarian cancer syndrome

No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: ODM Data

Human Diseases: lymphoma

No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: Clinical Data

Human Diseases: lymphoma

No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: ODM Data

Human Diseases: peripheral T-cell lymphoma

No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: Clinical Data

Human Diseases: peripheral T-cell lymphoma

Three-dimensional (3D) whole body scanner data of nearly 10,000 participants of a cohort collected from the adult population of Leipzig.

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

Data file type: Not specified

#UPDATE

This archive has been replaced by the GitLab docker registry. Follow the Link under Data Portal (https://gitlab.com/imise-genstat/metabolite-investigator-archive/container_registry/1612096) to find all previous versions of the app (starting from 0.1.6). The images can be downloaded and run using a working docker environment using the following commands:

Using the initial release version 0.1.6 as an example

docker pull registry.gitlab.com/imise-genstat/metabolite-investigator-archive:0.1.6 ...

Creators: Markus Scholz, Jonas Wagner, Carl Beuchel, Holger Kirsten

Submitter: Carl Beuchel

Data file type: Other OMICs Data

Risklayer Explorer is a collaboration between Risklayer GmbH and the Karlsruhe Institute of Technology's Center for Disaster Risk Management and Risk Reduction Technology (CEDM).

Creator: René Hänsel

Submitter: René Hänsel

Data file type: Geographical Data

Human Diseases: COVID-19

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: Andreas Kühnapfel

Submitter: Andreas Kühnapfel

Data file type: Not specified

No description specified

Creator: European Centre for Disease Prevention and Control

Submitter: René Hänsel

Data file type: Geographical Data

Human Diseases: COVID-19

No description specified

Creator: Johns Hopkins University

Submitter: René Hänsel

Data file type: Geographical Data

Human Diseases: COVID-19

No description specified

Creator: Robert Koch Institute

Submitter: René Hänsel

Data file type: Geographical Data

Human Diseases: COVID-19

Feature service with the current Covid-19 infections per 100,000 inhabitants on the German federal states. The service is updated daily with the current case numbers of the Robert Koch Institute.

Data source: Robert Koch Institute Terms of Use: Robert Koch Institute; German Federal Agency for Cartography and Geodesy Source note: Robert Koch-Institute (RKI), dl-en/by-2-0 Disclaimer: "The content made available on the Internet pages of the Robert Koch-Institute is intended solely for the general ...

Creator: Robert Koch Institute

Submitter: René Hänsel

Data file type: Not specified

Human Diseases: COVID-19

Feature service with the current Covid-19 infections per 100,000 inhabitants on the German districts. The service is updated daily with the current case numbers of the Robert Koch Institute.

Data source: Robert Koch Institute Terms of Use: Robert Koch Institute; German Federal Agency for Cartography and Geodesy Source note: Robert Koch-Institute (RKI), dl-en/by-2-0 Disclaimer: "The content made available on the Internet pages of the Robert Koch-Institute is intended solely for the general information ...

Creator: Robert Koch Institute

Submitter: René Hänsel

Data file type: Not specified

Human Diseases: COVID-19

T2DM Phenotype Algorithm Specification Ontology (PASO) developed using PhenoMan

The tabular representation of the T2DM phenotype algorithm generated by PhenoMan using the T2DM ontology

Based on the assumption that molecular mechanisms involved in cancerogenesis are characterized by groups of coordinately expressed genes, we developed and validated a novel method for analyzing transcriptional data called Correlated Gene Set Analysis (CGSA). Using 50 extracted gene sets we identified three different profiles of tumors in a cohort of 364 Diffuse large B-cell (DLBCL) and related mature aggressive B-cell lymphomas other than Burkitt lymphoma. The first profile had high level of ...

Creator: Maciej Rosolowski

Submitter: Christoph Beger

Data file type: Transcriptomic Data

Human Diseases: diffuse large B-cell lymphoma

307 single cells cultured from three biopsies of three different patients with a BRAF/NRAS wild type, BRAF mutant/NRAS wild type and BRAF wild type/NRAS mutant melanoma metastasis, respectively

Creators: Hans Binder, Henry Löffler-Wirth, Manfred Kunz

Submitter: Christoph Beger

Data file type: Genomic Data

Human Diseases: melanoma

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed Methylation profiling of primary tumor samples from 122 patients with cerebral gliomas with WHO grade II and grade III tumors.

Creators: Hans Binder, Henry Löffler-Wirth, Markus Kreuz

Submitter: Christoph Beger

Data file type: Methylation Data

Human Diseases: brain glioma

SNP summary statistics for three PWV modes (baPWV, cfPWV, bfPWV) - all samples. Adjusted for sex, age, log(SYS).

Creator: Michael Rode

Submitter: Michael Rode

Data file type: Not specified

This data file contains FHIR bundles of observation resources, which were used for the evaluation of the PhenoMan. Originally the observation data were generated with Synthea(TM) and truncated to reduce overall size and import times into a HAPI FHIR JPA Server. Please import the patient resources prior to the observations.

This data file contains 8,026,380 observations.

This data file contains FHIR bundles of patient resources, which were used for the evaluation of the PhenoMan. Originally the patient data were generated with Synthea(TM) and truncated to reduce overall size and import times into a HAPI FHIR JPA Server.

This data file contains 66,018 patients.

This data file contains FHIR bundles of allergy intolerance resources, which were used for the evaluation of the PhenoMan. Originally the allergy intolerance data were generated with Synthea(TM) and truncated to reduce overall size and import times into a HAPI FHIR JPA Server. Please import the patient resources prior to the allergy intolerances.

This data file contains 563 allergy intolerances.

This data file contains FHIR bundles of condition resources, which were used for the evaluation of the PhenoMan. Originally the condition data were generated with Synthea(TM) and truncated to reduce overall size and import times into a HAPI FHIR JPA Server. Please import the patient resources prior to the conditions.

This data file contains 139,763 conditions.

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed microarray-based genome- and transcriptome-wide molecular profiling of primary tumor samples from 137 patients with cerebral gliomas, 61 WHO grade II and 76 WHO grade III tumors.

Creators: Hans Binder, Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

Data file type: SOM Data

Human Diseases: brain glioma

Data for visualisation of associations and causal relationsships of SNPs, gene expression, and metabolites based on 1,856 individuals of the LIFE Heart study

Creator: Markus Scholz

Submitter: Christoph Beger

Data file type: Other OMICs Data

Human Diseases: kidney disease

No description specified

Creator: Markus Scholz

Submitter: Christoph Beger

Data file type: Clinical Data

Summary statistics from GWAS of CPS_mean for

  • all samples (adjusted for age and sex)
  • men only (adjusted for age)
  • women only (adjusted for age)

These data are intended for research purposes only.

Citation: Pott et al. (2020) Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLOS ONE. PubMed ID: 32469969

When using this data acknowledge the source as follows: 'Data on mean degree of stenosis has been contributed by LIFE-Adult investigators and has been downloaded ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Not specified

Summary statistics from GWAS of CPS_sum for

  • all samples (adjusted for age and sex)
  • men only (adjusted for age)
  • women only (adjusted for age)

These data are intended for research purposes only.

Citation: Pott et al. (2020) Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLOS ONE. PubMed ID: 32469969

When using this data acknowledge the source as follows: 'Data on sum of stenosis has been contributed by LIFE-Adult investigators and has been downloaded from ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Not specified

Summary statistics from GWAS of CPS_max for

  • all samples (adjusted for age and sex)
  • men only (adjusted for age)
  • women only (adjusted for age)

These data are intended for research purposes only.

Citation: Pott et al. (2020) Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLOS ONE. PubMed ID: 32469969

When using this data acknowledge the source as follows: 'Data on maximal degree of stenosis has been contributed by LIFE-Adult investigators and has been downloaded ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Not specified

Summary statistics from GWAS of CPA_mean for

  • all samples (adjusted for age and sex)
  • men only (adjusted for age)
  • women only (adjusted for age)

These data are intended for research purposes only.

Citation: Pott et al. (2020) Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLOS ONE. PubMed ID: 32469969

When using this data acknowledge the source as follows: 'Data on mean area of detected plaques has been contributed by LIFE-Adult investigators and has been downloaded ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Not specified

Summary statistics from GWAS of CPA_sum for

  • all samples (adjusted for age and sex)
  • men only (adjusted for age)
  • women only (adjusted for age)

These data are intended for research purposes only.

Citation: Pott et al. (2020) Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLOS ONE. PubMed ID: 32469969

When using this data acknowledge the source as follows: 'Data on sum of plaque areas has been contributed by LIFE-Adult investigators and has been downloaded from ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Not specified

Summary statistics from GWAS of CPA_max for

  • all samples (adjusted for age and sex)
  • men only (adjusted for age)
  • women only (adjusted for age)

These data are intended for research purposes only.

Citation: Pott et al. (2020) Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLOS ONE. PubMed ID: 32469969

When using this data acknowledge the source as follows: 'Data on area of the largest plaque detected has been contributed by LIFE-Adult investigators and has been ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Not specified

No description specified

A series of 80 samples from benign melanocytic nevi and primary melanoma samples were analyzed by RNA sequencing (RNA-seq) to identify transcriptomic changes underlying early melanoma development.

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

Data file type: Other OMICs Data

Progression free survival and overall survival of patients with brain tumors dependent on IDH1 mutation, methyltransferase (MGMT) methylation, age, WHO diagnosis and combinations of these factors.

Creator: Bettina Hentschel

Submitter: Christoph Beger

Data file type: Clinical Data

Human Diseases: brain glioma, brain glioblastoma multiforme

Example Reasoner Report generated by PhenoMan

Example Reasoner Report generated by PhenoMan

Example Reasoner Report generated by PhenoMan

Example Reasoner Report generated by PhenoMan

Example Reasoner Report generated by PhenoMan

The decision tree was generated by PhenoMan in GraphML format and was processed using an automatic layout of the yEd Graph Editor. Nonetheless, it is also possible to generate the complete tree as image in PNG format.

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

Summary statistics from meta GWAS of cortisol for

  • all samples (adjusted for age, log(BMI) and sex)
  • men only (adjusted for age and log(BMI))
  • women only (adjusted for age and log(BMI))

These data are intended for research purposes only.

Citation: Pott et al. (2019) Genetic Association Study of Eight Steroid Hormones and Implications for Sexual Dimorphism of Coronary Artery Disease. J Clin Endocrinol Metab 104: 5008–5023. PubMed ID: 31169883

When using this data acknowledge the source as ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from meta GWAS of DHEAS for

  • all samples (adjusted for age, log(BMI) and sex)
  • men only (adjusted for age and log(BMI))
  • women only (adjusted for age and log(BMI))

These data are intended for research purposes only.

Citation: Pott et al. (2019) Genetic Association Study of Eight Steroid Hormones and Implications for Sexual Dimorphism of Coronary Artery Disease. J Clin Endocrinol Metab 104: 5008–5023. PubMed ID: 31169883

When using this data acknowledge the source as follows: ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from meta GWAS of testosterone for

  • all samples (adjusted for age, log(BMI) and sex)
  • men only (adjusted for age and log(BMI))
  • women only (adjusted for age and log(BMI))

These data are intended for research purposes only.

Citation: Pott et al. (2019) Genetic Association Study of Eight Steroid Hormones and Implications for Sexual Dimorphism of Coronary Artery Disease. J Clin Endocrinol Metab 104: 5008–5023. PubMed ID: 31169883

When using this data acknowledge the source as ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from meta GWAS of estradiol for

  • all samples (adjusted for age, log(BMI) and sex)
  • men only (adjusted for age and log(BMI))
  • women only (adjusted for age and log(BMI))

These data are intended for research purposes only.

Citation: Pott et al. (2019) Genetic Association Study of Eight Steroid Hormones and Implications for Sexual Dimorphism of Coronary Artery Disease. J Clin Endocrinol Metab 104: 5008–5023. PubMed ID: 31169883

When using this data acknowledge the source as ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from meta GWAS of progesterone for

  • all samples (adjusted for age, log(BMI) and sex)
  • men only (adjusted for age and log(BMI))
  • women only (adjusted for age and log(BMI))

These data are intended for research purposes only.

Citation: Pott et al. (2019) Genetic Association Study of Eight Steroid Hormones and Implications for Sexual Dimorphism of Coronary Artery Disease. J Clin Endocrinol Metab 104: 5008–5023. PubMed ID: 31169883

When using this data acknowledge the source as ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from meta GWAS of aldosterone for

  • all samples (adjusted for age, log(BMI) and sex)
  • men only (adjusted for age and log(BMI))
  • women only (adjusted for age and log(BMI))

These data are intended for research purposes only.

Citation: Pott et al. (2019) Genetic Association Study of Eight Steroid Hormones and Implications for Sexual Dimorphism of Coronary Artery Disease. J Clin Endocrinol Metab 104: 5008–5023. PubMed ID: 31169883

When using this data acknowledge the source as ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from meta GWAS of 17-OH-progesterone for

  • all samples (adjusted for age, log(BMI) and sex)
  • men only (adjusted for age and log(BMI))
  • women only (adjusted for age and log(BMI))

These data are intended for research purposes only.

Citation: Pott et al. (2019) Genetic Association Study of Eight Steroid Hormones and Implications for Sexual Dimorphism of Coronary Artery Disease. J Clin Endocrinol Metab 104: 5008–5023. PubMed ID: 31169883

When using this data acknowledge the source ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

Summary statistics from meta GWAS of androstenedione for

  • all samples (adjusted for age, log(BMI) and sex)
  • men only (adjusted for age and log(BMI))
  • women only (adjusted for age and log(BMI))

These data are intended for research purposes only.

Citation: Pott et al. (2019) Genetic Association Study of Eight Steroid Hormones and Implications for Sexual Dimorphism of Coronary Artery Disease. J Clin Endocrinol Metab 104: 5008–5023. PubMed ID: 31169883

When using this data acknowledge the source ...

Creator: Janne Pott

Submitter: Janne Pott

Data file type: Other OMICs Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

This file contains the metadata of the MInT study formatted as CDISC ODM.

Creator: Marita Ziepert

Submitter: Christoph Beger

Data file type: ODM Data

Human Diseases: non-Hodgkin lymphoma, B-cell lymphoma

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

MInT study result data as CIDISC ODM

Creator: Marita Ziepert

Submitter: Christoph Beger

Data file type: ODM Data

Human Diseases: non-Hodgkin lymphoma, B-cell lymphoma

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as CDISC ODM file

Creator: Marita Ziepert

Submitter: Christoph Beger

Data file type: ODM Data

Human Diseases: B-cell lymphoma

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as CDISC ODM file

Creator: Marita Ziepert

Submitter: Christoph Beger

Data file type: ODM Data

Human Diseases: non-Hodgkin lymphoma, B-cell lymphoma

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival) Sample Size: 164

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Christoph Engel

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: ODM Data

Our first objective was to compare the molecular features of subgroups of HNSCC defined by their HPV16 DNA and RNA status. The second objective was to identify gene expression subtypes in HNSCC and to correlate them with other characteristics of the patients.

HPV DNA and RNA status, mutations of 50 genes, survival and other clinical characteristics of 270 patients with head and neck cancer.

Creator: Maciej Rosolowski

Submitter: René Hänsel

Data file type: ODM Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

Our first objective was to compare the molecular features of subgroups of HNSCC defined by their HPV16 DNA and RNA status. The second objective was to identify gene expression subtypes in HNSCC and to correlate them with other characteristics of the patients.

HPV DNA and RNA status, mutations of 50 genes, survival and other clinical characteristics of 270 patients with head and neck cancer.

Creator: Maciej Rosolowski

Submitter: René Hänsel

Data file type: Clinical Data

Our first objective was to compare the molecular features of subgroups of HNSCC defined by their HPV16 DNA and RNA status. The second objective was to identify gene expression subtypes in HNSCC and to correlate them with other characteristics of the patients.

HPV DNA and RNA status, mutations of 50 genes, survival and other clinical characteristics of 270 patients with head and neck cancer.

Creator: Maciej Rosolowski

Submitter: René Hänsel

Data file type: Clinical Data

Our first objective was to compare the molecular features of subgroups of HNSCC defined by their HPV16 DNA and RNA status. The second objective was to identify gene expression subtypes in HNSCC and to correlate them with other characteristics of the patients.

HPV DNA and RNA status, mutations of 50 genes, survival and other clinical characteristics of 270 patients with head and neck cancer.

Creator: Maciej Rosolowski

Submitter: Christoph Beger

Data file type: Clinical Data

Human Diseases: head and neck squamous cell carcinoma

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

For a closer description, see the publication to which the file is attached.

Creators: René Hänsel, Marcus Wagner

Submitter: Marcus Wagner

Data file type: Image Data

BACKGROUND: Reference intervals for leukocyte subsets from peripheral blood are helpful for the understanding of disease states and therapy effects. METHODS: We performed in-depth immunophenotyping for 608 healthy German adults from the Leipzig region from 40 to 79 years by 10-color flow cytometry (FCM) to gain reference information for various leukocyte subsets including subsets of granulocytes, monocytes and lymphocytes. RESULTS: First, we derived gender- and age-specific reference intervals ...

Creator: Silke Zachariae

Submitter: Silke Zachariae

Data file type: Not specified

No description specified

Creator: Silke Zachariae

Submitter: Silke Zachariae

Data file type: Not specified

Recent technological advances in single-cell genomics make it possible to analyze cellular heterogeneity of tumor samples. Here, we applied single-cell RNA-seq to measure the transcriptomes of 307 single cells cultured from three biopsies of three different patients with a BRAF/NRAS wild type, BRAF mutant/NRAS wild type and BRAF wild type/NRAS mutant melanoma metastasis, respectively. Analysis based on self-organizing maps identified sub-populations defined by multiple gene expression modules ...

Creator: Henry Löffler-Wirth

Submitters: René Hänsel, Henry Löffler-Wirth

Data file type: SOM Data

Single-cell transcriptomics has been used for analysis of heterogeneous populations of cells during developmental processes and for analysis of tumor cell heterogeneity. More recently, analysis of pseudotime (PT) dynamics of heterogeneous cell populations has been established as a powerful concept to study developmental processes. Here we perform PT analysis of 3 melanoma short-term cultures with different genetic backgrounds to study specific and concordant properties of PT dynamics of selected ...

Creator: Henry Löffler-Wirth

Submitters: René Hänsel, Henry Löffler-Wirth

Data file type: SOM Data

For this study, we screened prospectively recruited patients with a histopathological reference diagnosis of cerebral tumors of WHO grade II and III, known KPS at diagnosis, information on extent of resection by early postoperative neuroimaging, available frozen tissue specimens from the initial operation, and documented clinical outcome.

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological ...

Creator: Henry Löffler-Wirth

Submitters: René Hänsel, Henry Löffler-Wirth

Data file type: SOM Data

ROIs of size 600 x 900 px (0.109 mm^2) size were chosen from 25 expert-specified tumor subregions within DLBCL biopsy specimens. Images were generated by Hamamatsu Nanozoomer 2.0 RS slide scanner. ROI no. 1 - 25 represent staining with CD14 antibody (imaged at 488 nm wavelength), ROI no. 26 -- 50 represent staining with CD163 antibody (imaged at 555 nm wavelength). Imaged regions in ROIs no. 1 and 26, 2 and 27, ... , coincide. Data were used for mutual comparison of automated macrophage recognition ...

Creators: Marcus Wagner, René Hänsel

Submitter: René Hänsel

Data file type: Image Data

No description specified

Creator: Janne Pott

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Christoph Engel

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Christoph Engel

Submitters: Christoph Beger, Marita Ziepert

Data file type: ODM Data

No description specified

Creator: Christoph Engel

Submitters: Christoph Beger, Marita Ziepert

Data file type: Clinical Data

No description specified

Creator: Christoph Engel

Submitters: Christoph Beger, Marita Ziepert

Data file type: Clinical Data

No description specified

Creator: Christoph Engel

Submitters: Christoph Beger, Marita Ziepert

Data file type: ODM Data

No description specified

Creator: Christoph Engel

Submitters: Christoph Beger, Marita Ziepert

Data file type: Clinical Data

No description specified

Creator: Maciej Rosolowski

Submitter: Maciej Rosolowski

Data file type: SOM Data

Human Diseases: head and neck squamous cell carcinoma

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

Colorectal cancer (CRC) arising in Lynch syndrome (LS) comprises tumours with constitutional mutations in DNA mismatch repair genes. There is still a lack of whole-genome and transcriptome studies of LS-CRC to address questions about similarities and differences in mutation and gene expression characteristics between LS-CRC and sporadic CRC, about the molecular heterogeneity of LS-CRC, and about specific mechanisms of LS-CRC genesis linked to dysfunctional mismatch repair in LS colonic mucosa and ...

Creator: Hans Binder

Submitter: Henry Löffler-Wirth

Data file type: SOM Data

Human Diseases: Lynch syndrome

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

We present an extensive and detailed study on the gene expression landscape of peripheral blood of healthy individuals based on transcriptome data of 3,388 individuals screened in the population study LIFE between 2011 and 2014. For analysis we applied a neural network technique using self-organizing maps (SOM). Our home-made R-program ‘oposSOM’ enables to reduce the dimension of expression data from tens of thousands of genes to a few thousand ‘meta-genes’ and generates portraits of transcriptional ...

Creator: Henry Löffler-Wirth

Submitters: Christoph Beger, Henry Löffler-Wirth

Data file type: SOM Data

No description specified

Creator: Markus Löffler

Submitter: René Hänsel

Data file type: Clinical Data

We present a transcriptome map of mature B-cell lymphomas that was obtained by analyzing expression data of 873 biopsy specimens including diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), Burkitt’s lymphoma (BL), mixed FL/DLBCL lymphomas, primary mediastinal large B-cell lymphoma (PMBL), multiple myeloma (MM), IRF4-rearranged large cell lymphoma, MYC-negative high-grade B-cell lymphomas with Chr. 11q aberration pattern (mnBLL-11q), and Mantle cell lymphoma (MCL) to describe their ...

Creator: Henry Löffler-Wirth

Submitters: Christoph Beger, Henry Löffler-Wirth

Data file type: SOM Data

We performed gene-expression analysis of 220 mature aggressive B-cell lymphomas, including a core group of 8 Burkitt's lymphomas that met all World Health Organization (WHO) criteria. A SOM was trained using molecular classification of specimen according to molecular Burkitt's Lymphoma score provided by Hummel et al.

Creator: Henry Löffler-Wirth

Submitters: Christoph Beger, Henry Löffler-Wirth

Data file type: SOM Data

Gene expression of 270 patients with head and neck cancer Within the Leipzig Head and Neck Group (LHNG) we designed an observational cohort study to include consecutive patients with primary and metachronous secondary HNSCC of oral cavity, larynx, oro-, and hypopharynx. All tumors were pathohistologically classified as head and neck squamous cell carcinoma (ICDO-M-8070/3, 8071/3, 8083/3). Excluded from the study were patients with prior history of cancer other than HNSCC within the last 5 years. ...

Creator: Maciej Rosolowski

Submitter: René Hänsel

Data file type: Other OMICs Data

No description specified

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: René Hänsel

Data file type: Clinical Data

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as Microsoft Excel file

Creator: Marita Ziepert

Submitter: Christoph Beger

Data file type: Clinical Data

Human Diseases: B-cell lymphoma

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as SPSS file

Creator: Marita Ziepert

Submitter: Christoph Beger

Data file type: Clinical Data

Human Diseases: B-cell lymphoma

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as Microsoft Excel file

Creator: Marita Ziepert

Submitter: Christoph Beger

Data file type: Clinical Data

Human Diseases: non-Hodgkin lymphoma, B-cell lymphoma

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

MInT trial data as SPSS file

Creator: Marita Ziepert

Submitter: Christoph Beger

Data file type: Clinical Data

Human Diseases: B-cell lymphoma

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data of MInT

Creator: Marita Ziepert

Submitter: Christoph Beger

Data file type: Clinical Data

Human Diseases: B-cell lymphoma

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Creator: Marita Ziepert

Submitter: Christoph Beger

Data file type: Clinical Data

Human Diseases: non-Hodgkin lymphoma, B-cell lymphoma

No description specified

Creators: None

Submitter: Christoph Beger

Data file type: Not specified

Normative data concerning the speaking voice in the general population were gathered with the aim to establish standard values for clinical diagnostics. Associations between the speaking voice and sociodemographic factors were examined.

Creators: Christoph Engel, Martin Berg, Michael Fuchs, Kerstin Wirkner, Markus Löffler, Thomas Berger

Submitter: Christoph Beger

Data file type: Clinical Data

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