Literature DB >> 22377895

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

Aparna Bhaduri1, Kun Qu, Carolyn S Lee, Alexander Ungewickell, Paul A Khavari.   

Abstract

UNLABELLED: 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 <2 h, 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). AVAILABILITY: RINS is available for free download at http://khavarilab.stanford.edu/resources.html.

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Year:  2012        PMID: 22377895      PMCID: PMC3324519          DOI: 10.1093/bioinformatics/bts100

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


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