期刊
BIOINFORMATICS
卷 29, 期 3, 页码 391-392出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bts684
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- KAUST faculty
A: 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).
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