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TRiCoLOR: tandem repeat profiling using whole-genome long-read sequencing data
Author(s) -
Davide Bolognini,
Alberto Magi,
Vladimı́r Beneš,
Jan O. Korbel,
Tobias Rausch
Publication year - 2020
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giaa101
Subject(s) - genome , microsatellite , tandem repeat , computational biology , human genome , dna sequencing , biology , variable number tandem repeat , whole genome sequencing , genetics , computer science , gene , allele
Tandem repeat sequences are widespread in the human genome, and their expansions cause multiple repeat-mediated disorders. Genome-wide discovery approaches are needed to fully elucidate their roles in health and disease, but resolving tandem repeat variation accurately remains a challenging task. While traditional mapping-based approaches using short-read data have severe limitations in the size and type of tandem repeats they can resolve, recent third-generation sequencing technologies exhibit substantially higher sequencing error rates, which complicates repeat resolution.

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