Higher classification sensitivity of short metagenomic reads with CLARK-S | Zendy

Rachid Ounit | Zendy; Stefano Lonardi | Zendy

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Higher classification sensitivity of short metagenomic reads with CLARK-S

Author(s) -

Rachid Ounit,

Stefano Lonardi

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw542

Subject(s) - metagenomics , sensitivity (control systems) , computer science , software , data mining , machine learning , artificial intelligence , data science , biology , engineering , operating system , electronic engineering , gene , biochemistry

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.

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