READSCAN: A fast and scalable pathogen discovery program with accurate genome relative abundance estimation
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AbstractSummary: READSCAN is a highly scalable parallel program to identify non-host sequences (of potential pathogen origin) and estimate their genome relative abundance in high-throughput sequence datasets. READSCAN accurately classified human and viral sequences on a 20.1 million reads simulated dataset in <27 min using a small Beowulf compute cluster with 16 nodes (Supplementary Material). Availability: http://cbrc.kaust.edu.sa/readscan Contact: or firstname.lastname@example.org Supplementary information: Supplementary data are available at Bioinformatics online. 2012 The Author(s).
CitationNaeem R, Rashid M, Pain A (2012) READSCAN: a fast and scalable pathogen discovery program with accurate genome relative abundance estimation. Bioinformatics 29: 391-392. doi:10.1093/bioinformatics/bts684.
PublisherOxford University Press (OUP)
PubMed Central IDPMC3562070
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/3.0
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