Carolyn Lee

Publication Details

  • Rapid identification of non-human sequences in high-throughput sequencing datasets BIOINFORMATICS Bhaduri, A., Qu, K., Lee, C. S., Ungewickell, A., Khavari, P. A. 2012; 28 (8): 1174-1175

    Abstract:

    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).RINS is available for free download at http://khavarilab.stanford.edu/resources.html.

    View details for DOI 10.1093/bioinformatics/bts100

    View details for Web of Science ID 000302806900022

    View details for PubMedID 22377895

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