Rapid identification of non-human sequences in high-throughput sequencing datasets

被引：68

作者：

Bhaduri, Aparna

Qu, Kun

Lee, Carolyn S.

Ungewickell, Alexander

Khavari, Paul A. ^{[1
]}

机构：

[1] Vet Affairs Palo Alto Healthcare Syst, Palo Alto, CA 94304 USA

来源：

BIOINFORMATICS | 2012年 / 28卷 / 08期

关键词：

ALIGNMENT;

D O I：

10.1093/bioinformatics/bts100

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Rapid identification of non-human sequences (RINS) is an intersection-based pathogen detection workflow that utilizes a user-provided custom reference genome set for identification of non-human sequences in deep sequencing datasets. In < 2h, RINS correctly identified the known virus in the dataset SRR73726 and is compatible with any computer capable of running the prerequisite alignment and assembly programs. RINS accurately identifies sequencing reads from intact or mutated non-human genomes in a dataset and robustly generates contigs with these non-human sequences (Supplementary Material).

引用

页码：1174 / 1175

页数：2

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