Data files
Query
Created At
Tag
fhir5
ontology4
phenotyping4
synthea4
aggressive non-hodgkin's lymphoma2
b-cell lymphoma2
cdisc odm2
diffuse large B-cell lymphoma2
excel2
gwas2
Summary Statistics2
3lgm21
blood transcriptome1
brca1
colorectal cancer1
fair4health1
gene expression1
gene expression analysis1
hboc1
hereditary cancer1
immune editing1
life style1
liquid biopsy1
lynch syndrome1
mismatch repair1
model1
non-hodgkin lymphoma1
pcsk91
pwv data1
snp data1
spss1
tumour heterogeneity1
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Submitter
Andreas Kühnapfel100
René Hänsel96
Marcus Wagner46
Christoph Beger28
Janne Pott23
Henry Löffler-Wirth16
Torsten Thalheim16
Matthias Löbe11
Alexandr Uciteli9
Alexander Strübing8
Marita Ziepert5
Mona Perbix5
Katrin Horn4
Silke Zachariae2
Holger Kirsten2
Maciej Rosolowski1
Carl Beuchel1
Michael Rode1
Zian Fanti Gutiérrez1
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Project
Genetical Statistics and Systems Biology133
LIFE Adult132
GLA - German Lymphoma Alliance49
MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine47
SepNet - German Competence Network Sepsis35
FAIR4Health16
Onto-Med Research Group14
LIFE Heart13
LHA - Leipzig Health Atlas10
SMITH - Smart Medical Information Technology for Healthcare9
Epigenetic drifts during long-term intestinal organoid culture9
POLAR - Polypharmacy, Drug Interactions, Risks8
GGN - German Glioma Network7
Skin single-cell transcriptomics reveals a core of sebaceous gland-relevant genes shared by mice and humans7
LIFE HNC - Head and Neck Cancer Group6
Task Force COVID-19 Leipzig6
MMML-MYC-SYS5
Leipzig Melanoma Studies4
Evaluation Metadata Repository2
imSAVAR - Immune safety avatar: nonclinical mimicking of the immune system effects of immunomodulatory therapies2
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer1
HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome1
MMML - Molecular mechanisms in malignant lymphoma1
SCALE-TORT1
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Programme
LIFE Management Cluster176
NHL49
MII - Medical Informatics Initiative17
Science with and for Society (SwafS) in Horizon 202016
i:DSem - Integrative Datensemantik in der Systemmedizin10
Glioma7
Default 7
NFDI - German National Research Data Infrastructure6
European Union’s Horizon 20202
Default Programme1
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Creator
Andreas Kühnapfel100
René Hänsel58
Marcus Wagner47
Marita Ziepert45
Janne Pott24
Markus Löffler20
Christoph Engel16
Henry Löffler-Wirth15
Alexandr Uciteli14
Markus Scholz11
Torsten Thalheim9
Katrin Horn8
Maciej Rosolowski7
Hans Binder6
Andreas Hinz6
Christoph Beger5
Mona Perbix4
Markus Kreuz3
Silke Zachariae3
Christian Sander2
Alexander Strübing2
Matthias Löbe1
Heinrich Herre1
Toralf Kirsten1
Michael Hummel1
Bettina Hentschel1
Carl Beuchel1
Jonas Wagner1
Michael Rode1
Dirk Alexander Wittekind1
Jan Erik Gewehr1
Ulrich Jaehde1
Friederike Salman1
Yvonne Lemke1
Steffen Härterich1
Norman Freier1
Anna Böhmer1
Katharina Karsten Dafonte1
Martin Coenen1
Gunther Hartmann1
Ingolf Cascorbi1
Claudia Bulin1
Ruwen Böhm1
Martin Böker1
Thomas Maulhardt1
Martin Fromm1
Renke Maas1
Pauline Dürr1
Melanie Then1
Wahram Andrikyan1
Felix Rottmann1
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Data File Type
Clinical Data76
Image Data48
ODM Data35
Other OMICs Data23
SOM Data15
Genomic Data4
Geographical Data4
Transcriptomic Data3
Methylation Data2
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Resource Type
Experimental Assay Type124
Genome Scale100
Genome Wide Association16
Model Analysis Type16
Gene Expression Profiling1
Human Disease
B-cell lymphoma11
hypertension6
COVID-196
obesity5
lymphoma5
non-Hodgkin lymphoma5
brain glioma5
peripheral T-cell lymphoma5
bronchial disease4
asthma4
head and neck squamous cell carcinoma2
hereditary breast ovarian cancer syndrome1
diffuse large B-cell lymphoma1
Lynch syndrome1
kidney disease1
melanoma1
atherosclerosis1
brain glioblastoma multiforme1
More...
375
Data files visible to you, out of a total of 410
Example Reasoner Report generated by PhenoMan
DownloadExample 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.
T2DM Phenotype Algorithm Specification Ontology (PASO) developed using PhenoMan
The tabular representation of the T2DM phenotype algorithm generated by PhenoMan using the T2DM ontology
