Rapid identification of non-human sequences in high-throughput sequencing datasets.
Ontology highlight
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.
SUBMITTER: Bhaduri A
PROVIDER: S-EPMC3324519 | biostudies-literature | 2012 Apr
REPOSITORIES: biostudies-literature
Publications
Rapid identification of non-human sequences in high-throughput sequencing datasets.
Bhaduri Aparna A Qu Kun K Lee Carolyn S CS Ungewickell Alexander A Khavari Paul A PA
Bioinformatics (Oxford, England) 20120228 8
<h4>Unlabelled</h4>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 n ...[more]
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