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Oxford University Press (OUP), Bioinformatics, 3(29), p. 391-392

DOI: 10.1093/bioinformatics/bts684

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READSCAN: a fast and scalable pathogen discovery program with accurate genome relative abundance estimation

Journal article published in 2012 by Raeece Naeem ORCID, Mamoon Rashid, Arnab Pain
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Summary: 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