taxMaps: comprehensive and highly accurate taxonomic classification of short-read data in reasonable time.

Abstract:

:High-throughput sequencing is a revolutionary technology for the analysis of metagenomic samples. However, querying large volumes of reads against comprehensive DNA/RNA databases in a sensitive manner can be compute-intensive. Here, we present taxMaps, a highly efficient, sensitive, and fully scalable taxonomic classification tool. Using a combination of simulated and real metagenomics data sets, we demonstrate that taxMaps is more sensitive and more precise than widely used taxonomic classifiers and is capable of delivering classification accuracy comparable to that of BLASTN, but at up to three orders of magnitude less computational cost.

journal_name

Genome Res

journal_title

Genome research

authors

Corvelo A,Clarke WE,Robine N,Zody MC

doi

10.1101/gr.225276.117

subject

Has Abstract

pub_date

2018-05-01 00:00:00

pages

751-758

issue

5

eissn

1088-9051

issn

1549-5469

pii

gr.225276.117

journal_volume

28

pub_type

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