READSCAN: A fast and scalable pathogen discovery program with accurate genome relative abundance estimation
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Computational Bioscience Research Center (CBRC)
Pathogen Genomics Laboratory
Red Sea Research Center (RSRC)
Online Publication Date2012-11-28
Print Publication Date2013-02-01
Permanent link to this recordhttp://hdl.handle.net/10754/325436
MetadataShow full item record
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 email@example.com 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
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/3.0
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