Identifying protein-coding genes in genomic sequences

被引：61

作者：

Harrow, Jennifer ^{[2
]}

Nagy, Alinda ^{[3
]}

Reymond, Alexandre ^{[4
]}

Alioto, Tyler ^{[1
]}

Patthy, Laszlo ^{[3
]}

Antonarakis, Stylianos E. ^{[5
,6
]}

Guigo, Roderic ^{[1
]}

机构：

[1] Univ Pompeu Fabra, Inst Municipal Invest Med, Ctr Regulacio Genom, E-08003 Barcelona, Catalonia, Spain

[2] Wellcome Trust Sanger Inst, Cambridge CB10 1SA, England

[3] Hungarian Acad Sci, Biol Res Ctr, Inst Enzymol, H-1113 Budapest, Hungary

[4] Univ Lausanne, Ctr Integrat Genom, CH-1015 Lausanne, Switzerland

[5] Univ Geneva, Sch Med, Dept Genet Med & Dev, CH-1211 Geneva, Switzerland

[6] Univ Hosp Geneva, CH-1211 Geneva, Switzerland

来源：

GENOME BIOLOGY | 2009年 / 10卷 / 01期

基金：

英国惠康基金;

关键词：

TRANSCRIPTIONAL LANDSCAPE; ENCODE REGIONS; RNAS; IDENTIFICATION; ANNOTATION; PREDICTION; DISCOVERY; NUMBER; MAPS; VIEW;

D O I：

10.1186/gb-2009-10-1-201

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

The vast majority of the biology of a newly sequenced genome is inferred from the set of encoded proteins. Predicting this set is therefore invariably the first step after the completion of the genome DNA sequence. Here we review the main computational pipelines used to generate the human reference protein-coding gene sets.

引用

页数：8

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