The uniqueome: a mappability resource for short-tag sequencing

被引：46

作者：

Koehler, Ryan ^{[2
]}

Issac, Hadar ^{[3
]}

Cloonan, Nicole ^{[1
]}

Grimmond, Sean M. ^{[1
]}

机构：

[1] Univ Queensland, Inst Mol Biosci, Queensland Ctr Med Genom, St Lucia, Qld 4072, Australia

[2] VerdAscend Sci, W Linn, OR 97068 USA

[3] Imagenix Technol, Mountain View, CA 94043 USA

来源：

BIOINFORMATICS | 2011年 / 27卷 / 02期

基金：

澳大利亚研究理事会; 英国医学研究理事会;

关键词：

DATABASE; UPDATE;

D O I：

10.1093/bioinformatics/btq640

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Quantification applications of short-tag sequencing data (such as CNVseq and RNAseq) depend on knowing the uniquenes of specific genomic regions at a given threshold of error. Here, we present the 'uniqueome', a genomic resource for understanding the uniquely mappable proportion of genomic sequences. Pre-computed data are available for human, mouse, fly and worm genomes in both color-space and nucletotide-space, and we demonstrate the utility of this resource as applied to the quantification of RNAseq data.

引用

页码：272 / 274

页数：3

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