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 Resjournal_title
Genome researchauthors
Corvelo A,Clarke WE,Robine N,Zody MCdoi
10.1101/gr.225276.117subject
Has Abstractpub_date
2018-05-01 00:00:00pages
751-758issue
5eissn
1088-9051issn
1549-5469pii
gr.225276.117journal_volume
28pub_type
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