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

被引：21

作者：

Baker, Erich ^{[1
,2
]}

Bubier, Jason A. ^{[3
]}

Reynolds, Timothy ^{[2
]}

Langston, Michael A. ^{[4
]}

Chesler, Elissa J. ^{[3
]}

机构：

[1] Baylor Univ, Sch Engn & Comp Sci, Waco, TX 76798 USA

[2] Baylor Univ, Inst Biomed Studies, Waco, TX 76798 USA

[3] Jackson Lab, 600 Main St, Bar Harbor, ME 04609 USA

[4] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA

来源：

NUCLEIC ACIDS RESEARCH | 2016年 / 44卷 / D1期

关键词：

GENES;

D O I：

10.1093/nar/gkv1329

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：D555 / D559

页数：5

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