October 2017: The database has been synchronized with GEO to April 2017. Also the Restful API support has been added
October 2016: Support for searching and sharing compendia is added
OMiCC is a community-based, biologist-friendly web platform for creating and (meta-)
analyzing annotated gene-expression data compendia across studies and technology platforms for more than
24,000 human and mouse studies from
Gene Expression Omnibus (GEO). An important feature of OMiCC is that it allows users to contribute
to the community by sharing meta-data essential for data collation, reuse, and (meta-) analysis across
studies. Thus, users of OMiCC can reuse sample groupings and pairings created by other users to construct
cross-study data sets. We envision that as more users take advantage of OMiCC to perform biological
hypothesis generation and discovery, more users will create and share such meta-data as well as data
compendia and analyses with the biomedical research community.
Try our "Take a Tour" feature for more information about the page you are on. For detail introduction to OMiCC, go to the tutorial page
If you use OMiCC in your work, please cite:
Shah N*, Guo Y*, Wendelsdroff KV*, Lu Y, Sparks R, and Tsang JS. "A crowdsourcing approach
for reusing and meta-analyzing gene expression data across studies and platforms". Nature Biotechnology 2016.
DOI: 10.1038/nbt.3603 (* equal contributing authors)
Sparks, R., Lau, W.W., and Tsang, J.S. (2016). Expanding the Immunology Toolbox: Embracing Public-Data Reuse and
Crowdsourcing. Immunity 45, 1191–1204. DOI:
Lau, W.W., Sparks, R., OMiCC Jamboree Working Group, and Tsang, J.S. (2016). Meta-analysis of crowdsourced data
compendia suggests pan-disease transcriptional signatures of autoimmunity. F1000Research 5, 2884.