STAT: a fast, scalable, MinHash-based k-mer tool to assess Sequence Read Archive next-generation sequence submissions

Sequence Read Archive submissions to the National Center for Biotechnology Information often lack useful metadata, which limits the utility of these submissions. We describe the Sequence Taxonomic Analysis Tool (STAT), a scalable k- mer-based tool for fast assessment of taxonomic diversity intrinsic...

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Bibliographic Details
Published in:	Genome Biology Vol. 22; no. 1; p. 270
Main Authors:	Katz, Kenneth S., Shutov, Oleg, Lapoint, Richard, Kimelman, Michael, Brister, J. Rodney, O’Sullivan, Christopher
Format:	Journal Article
Language:	English
Published:	London BioMed Central 20.09.2021 Springer Nature B.V BMC
Subjects:	Accuracy Animal Genetics and Genomics Archives & records Bioinformatics Biomedical and Life Sciences Biotechnology DNA Contamination Evolutionary Biology genome Genomes High-Throughput Nucleotide Sequencing - methods Human Genetics Humans Life Sciences Metadata Metagenomics Metagenomics - methods Method Microbial Genetics and Genomics MinHash National Center for Biotechnology Information Next-generation sequencing Plant Genetics and Genomics SARS-CoV-2 - genetics Software species diversity Taxonomy MinHash Metagenomics
ISSN:	1474-760X, 1474-7596, 1474-760X
Online Access:	Get full text
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