D2H2


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About

Please acknowledge D2H2 in your publications by citing the following reference:

Giacomo B Marino, Nasheath Ahmed, Zhuorui Xie, Kathleen M Jagodnik, Jason Han, Daniel J B Clarke, Alexander Lachmann, Mark P Keller, Alan D Attie, Avi Ma’ayan, D2H2: Diabetes and Data and Hypothesis Hub, Bioinformatics Advances, 2023;, vbad178, https://doi.org/10.1093/bioadv/vbad178

This site is supported by the NIDDK through RC2-DK131995.

D2H2 utilzes a variety of resources to harmonize knowledge for hypotheses generation.

Appyters

ARCHS4

GTEx

GeneShot

GWAS

SigComLincs

Enrichr

GeneRanger

ChEA3

KEA3

Rummagene

Curated transcriptomics datasets from various Type 2 Diabetes studies are made available for download, visualization, and enrichment analysis.