Ontogenomic study of the relationship between number of gene splice variants and GO categorization | Zendy

A Kahn | Zendy; Barry R. Zeebèrg | Zendy; Michaël Ryan | Zendy; D. Curtis Jamison | Zendy; David Rockoff | Zendy; ﻿Yves Pommier | Zendy; John N. Weinstein | Zendy

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Ontogenomic study of the relationship between number of gene splice variants and GO categorization

Author(s) -

A Kahn,

Barry R. Zeebèrg,

Michaël Ryan,

D. Curtis Jamison,

David Rockoff,

Yves Pommier,

John N. Weinstein

Publication year - 2010

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btq335

Subject(s) - splice , gene , biology , computational biology , genbank , genetics , partition (number theory) , combinatorics , mathematics

Splice variation plays important roles in evolution and cancer. Different splice variants of a gene may be characteristic of particular cellular processes, subcellular locations or organs. Although several genomic projects have identified splice variants, there have been no large-scale computational studies of the relationship between number of splice variants and biological function. The Gene Ontology (GO) and tools for leveraging GO, such as GoMiner, now make such a study feasible.

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