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GeneWeaver | A web-based system for integrative functional genomics

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. GeneWeaver 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.

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GeneWeaver classification

GeneWeaver specifications

Unique identifier:
Restrictions to use:
Web user interface, Application programming interface
Computer skills:

GeneWeaver support



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School of Engineering & Computer Science, Baylor University, Waco, TX, USA; Institute for Biomedical Studies, Baylor University, Waco, TX, USA; The Jackson Laboratory, Bar Harbor, ME, USA; Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA

Funding source(s)

NIH [R01 AA18776] Jointly Funded by NIAAA and NIDA

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