Sign in
BioinformaticsGenome Research
Peer-reviewed journal article

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

André CorveloiD, Wayne E. ClarkeiD, Nicolas RobineiD, Michael C. ZodyiD

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, capable of delivering classification accuracy comparable to that of BLASTn, but at up to 3 orders of magnitude less computational cost. taxMaps is freely available for academic and non-commercial research purposes at https://github.com/nygenome/taxmaps.

PDFDOICode

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISUlrich '24Dilthey '19Wahl '25Rodrigues '17Marić '24Sarhan '24
74% semantic matchBioinformatics
Jens-Uwe Ulrich, Bernhard Y. Renard·Genome Research·Jun 1, 2024· 13 citations