Rachid Ounit1, Stefano Lonardi1. 1. Department of Computer Science and Engineering, University of California, Riverside, CA 92521, USA.
Abstract
The growing number of metagenomic studies in medicine and environmental sciences is creating increasing demands on the computational infrastructure designed to analyze these very large datasets. Often, the construction of ultra-fast and precise taxonomic classifiers can compromise on their sensitivity (i.e. the number of reads correctly classified). Here we introduce CLARK-S, a new software tool that can classify short reads with high precision, high sensitivity and high speed. AVAILABILITY AND IMPLEMENTATION: CLARK-S is freely available at http://clark.cs.ucr.edu/ CONTACT: stelo@cs.ucr.eduSupplementary information: Supplementary data are available at Bioinformatics online.
The growing number of metagenomic studies in medicine and environmental sciences is creating increasing demands on the computational infrastructure designed to analyze these very large datasets. Often, the construction of ultra-fast and precise taxonomic classifiers can compromise on their sensitivity (i.e. the number of reads correctly classified). Here we introduce CLARK-S, a new software tool that can classify short reads with high precision, high sensitivity and high speed. AVAILABILITY AND IMPLEMENTATION: CLARK-S is freely available at http://clark.cs.ucr.edu/ CONTACT: stelo@cs.ucr.eduSupplementary information: Supplementary data are available at Bioinformatics online.
Authors: Alexa B R McIntyre; Rachid Ounit; Ebrahim Afshinnekoo; Robert J Prill; Elizabeth Hénaff; Noah Alexander; Samuel S Minot; David Danko; Jonathan Foox; Sofia Ahsanuddin; Scott Tighe; Nur A Hasan; Poorani Subramanian; Kelly Moffat; Shawn Levy; Stefano Lonardi; Nick Greenfield; Rita R Colwell; Gail L Rosen; Christopher E Mason Journal: Genome Biol Date: 2017-09-21 Impact factor: 13.583
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