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基因编织者:生物学与疾病中跨物种基因组学的数据驱动比对

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

作者信息

Baker Erich, Bubier Jason A, Reynolds Timothy, Langston Michael A, Chesler Elissa J

机构信息

School of Engineering & Computer Science, Baylor University, Waco, TX 76798, USA Institute for Biomedical Studies, Baylor University, Waco, TX 76798, USA.

The Jackson Laboratory, Bar Harbor, ME 04609, USA.

出版信息

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

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.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42b/4702926/49fcff6bae75/gkv1329fig1.jpg

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