GeneWeaver combines cross-species data and gene entity integration, scalable hierarchical analysis of user data with a community-built and curated data archive of gene sets and gene networks, and tools for data driven comparison of user-defined biological, behavioral and disease concepts. Gene Weaver allows users to integrate gene sets across species, tissue and experimental platform. It differs from conventional gene set over-representation analysis tools in that it allows users to evaluate intersections among all combinations of a collection of gene sets, including, but not limited to annotations to controlled vocabularies. There are numerous applications of this approach. Sets can be stored, shared and compared privately, among user defined groups of investigators, and across all users.
- A crash-course in the main features of Gene Weaver.
Gene Weaver / The Ontological Discovery Environment was initiated as a project of the NIAAA
Integrative Neuroscience Initiative on Alcoholism (U01AA13499, U24AA13513),
and is supported by RO1 AA18776.
This page is maintained by Erich Baker
and Elissa Chesler.
For applicable policies see our privacy,
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