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Taxonomic analysis of metagenomic data with kASA.


ABSTRACT: The taxonomic analysis of sequencing data has become important in many areas of life sciences. However, currently available tools for that purpose either consume large amounts of RAM or yield insufficient quality and robustness. Here, we present kASA, a k-mer based tool capable of identifying and profiling metagenomic DNA or protein sequences with high computational efficiency and a user-definable memory footprint. We ensure both high sensitivity and precision by using an amino acid-like encoding of k-mers together with a range of multiple k's. Custom algorithms and data structures optimized for external memory storage enable a full-scale taxonomic analysis without compromise on laptop, desktop, and HPCC.

SUBMITTER: Weging S 

PROVIDER: S-EPMC8266618 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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Taxonomic analysis of metagenomic data with kASA.

Weging Silvio S   Gogol-Döring Andreas A   Grosse Ivo I  

Nucleic acids research 20210701 12


The taxonomic analysis of sequencing data has become important in many areas of life sciences. However, currently available tools for that purpose either consume large amounts of RAM or yield insufficient quality and robustness. Here, we present kASA, a k-mer based tool capable of identifying and profiling metagenomic DNA or protein sequences with high computational efficiency and a user-definable memory footprint. We ensure both high sensitivity and precision by using an amino acid-like encodin  ...[more]

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