title: READSCAN: a fast and scalable pathogen discovery program with accurate genome relative abundance estimation.
abstract: 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).
  
  
  BACKGROUND
  http://cbrc.kaust.edu.sa/readscan.
authors.affiliation: Pathogen Genomics Laboratory, Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal-23955-6900, Kingdom of Saudi Arabia. raeece.naeem@gmail.com
authors.forename: Raeece
authors.initials: R
authors.lastname: Naeem
authors.forename: Mamoon
authors.initials: M
authors.lastname: Rashid
authors.forename: Arnab
authors.initials: A
authors.lastname: Pain
mesh_terms: D000465:Algorithms; D002277:Carcinoma / Q000382:microbiology; D015179:Colorectal Neoplasms / Q000382:microbiology; D016967:Fusobacterium nucleatum / Q000235:genetics / Q000302:isolation & purification; D016679:Genome, Viral; D059014:High-Throughput Nucleotide Sequencing; D052161:Human papillomavirus 18 / Q000235:genetics / Q000302:isolation & purification; D006801:Humans; D008297:Male; D011471:Prostatic Neoplasms / Q000821:virology; D012984:Software