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

Raeece Naeem, Mamoon Rashid, Arnab Pain

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

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
Original languageEnglish (US)
Pages (from-to)391-392
Number of pages2
JournalBioinformatics
Volume29
Issue number3
DOIs
StatePublished - Nov 28 2012

ASJC Scopus subject areas

  • Biochemistry
  • Computational Theory and Mathematics
  • Computational Mathematics
  • Molecular Biology
  • Statistics and Probability
  • Computer Science Applications

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