Back to Search Start Over

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

Authors :
Katz KS
Shutov O
Lapoint R
Kimelman M
Brister JR
O'Sullivan C
Source :
Genome biology [Genome Biol] 2021 Sep 20; Vol. 22 (1), pp. 270. Date of Electronic Publication: 2021 Sep 20.
Publication Year :
2021

Abstract

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 to submissions, independent of metadata. We show that our MinHash-based k-mer tool is accurate and scalable, offering reliable criteria for efficient selection of data for further analysis by the scientific community, at once validating submissions while also augmenting sample metadata with reliable, searchable, taxonomic terms.<br /> (© 2021. The Author(s).)

Details

Language :
English
ISSN :
1474-760X
Volume :
22
Issue :
1
Database :
MEDLINE
Journal :
Genome biology
Publication Type :
Academic Journal
Accession number :
34544477
Full Text :
https://doi.org/10.1186/s13059-021-02490-0