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STRling: a k-mer counting approach that detects short tandem repeat expansions at known and novel loci

Authors :
Harriet Dashnow
Brent S. Pedersen
Laurel Hiatt
Joe Brown
Sarah J. Beecroft
Gianina Ravenscroft
Amy J. LaCroix
Phillipa Lamont
Richard H. Roxburgh
Miriam J. Rodrigues
Mark Davis
Heather C. Mefford
Nigel G. Laing
Aaron R. Quinlan
Source :
Genome Biology, Vol 23, Iss 1, Pp 1-20 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Expansions of short tandem repeats (STRs) cause many rare diseases. Expansion detection is challenging with short-read DNA sequencing data since supporting reads are often mapped incorrectly. Detection is particularly difficult for “novel” STRs, which include new motifs at known loci or STRs absent from the reference genome. We developed STRling to efficiently count k-mers to recover informative reads and call expansions at known and novel STR loci. STRling is sensitive to known STR disease loci, has a low false discovery rate, and resolves novel STR expansions to base-pair position accuracy. It is fast, scalable, open-source, and available at: github.com/quinlan-lab/STRling .

Details

Language :
English
ISSN :
1474760X
Volume :
23
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.b354d34ff2e44f32a24f0158d94420d9
Document Type :
article
Full Text :
https://doi.org/10.1186/s13059-022-02826-4