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Nucleic Acids Res. 2016 Jan 4;44(D1):D555-9. doi: 10.1093/nar/gkv1329. Epub 2015 Dec 9.

GeneWeaver: data driven alignment of cross-species genomics in biology and disease.

Author information

1
School of Engineering & Computer Science, Baylor University, Waco, TX 76798, USA Institute for Biomedical Studies, Baylor University, Waco, TX 76798, USA.
2
The Jackson Laboratory, Bar Harbor, ME 04609, USA.
3
Institute for Biomedical Studies, Baylor University, Waco, TX 76798, USA.
4
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA.
5
The Jackson Laboratory, Bar Harbor, ME 04609, USA Elissa.chesler@jax.org.

Abstract

The GeneWeaver data and analytics website (www.geneweaver.org) is a publically available resource for storing, curating and analyzing sets of genes from heterogeneous data sources. The system enables discovery of relationships among genes, variants, traits, drugs, environments, anatomical structures and diseases implicitly found through gene set intersections. Since the previous review in the 2012 Nucleic Acids Research Database issue, GeneWeaver's underlying analytics platform has been enhanced, its number and variety of publically available gene set data sources has been increased, and its advanced search mechanisms have been expanded. In addition, its interface has been redesigned to take advantage of flexible web services, programmatic data access, and a refined data model for handling gene network data in addition to its original emphasis on gene set data. By enumerating the common and distinct biological molecules associated with all subsets of curated or user submitted groups of gene sets and gene networks, GeneWeaver empowers users with the ability to construct data driven descriptions of shared and unique biological processes, diseases and traits within and across species.

PMID:
26656951
PMCID:
PMC4702926
DOI:
10.1093/nar/gkv1329
[Indexed for MEDLINE]
Free PMC Article

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