LUSTR: a new customizable tool for calling genome-wide germline and somatic short tandem repeat variants.
LUSTR: a new customizable tool for calling genome-wide germline and somatic short tandem repeat variants.
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DOI:
10.1186/s12864-023-09935-9
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发表时间:
2024-01-26
期刊:
影响因子:
4.4
通讯作者:
中科院分区:
文献类型:
--
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Short tandem repeats (STRs) are widely distributed across the human genome and are associated with numerous neurological disorders. However, the extent that STRs contribute to disease is likely under-estimated because of the challenges calling these variants in short read next generation sequencing data. Several computational tools have been developed for STR variant calling, but none fully address all of the complexities associated with this variant class. Here we introduce LUSTR which is designed to address some of the challenges associated with STR variant calling by enabling more flexibility in defining STR loci, allowing for customizable modules to tailor analyses, and expanding the capability to call somatic and multiallelic STR variants. LUSTR is a user-friendly and easily customizable tool for targeted or unbiased genome-wide STR variant screening that can use either predefined or novel genome builds. Using both simulated and real data sets, we demonstrated that LUSTR accurately infers germline and somatic STR expansions in individuals with and without diseases. LUSTR offers a powerful and user-friendly approach that allows for the identification of STR variants and can facilitate more comprehensive studies evaluating the role of pathogenic STR variants across human diseases. The online version contains supplementary material available at 10.1186/s12864-023-09935-9.
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DOI:
10.1073/pnas.79.21.6465
发表时间:
1982-01-01
期刊:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES
影响因子:
--
作者:
HAMADA, H;PETRINO, MG;KAKUNAGA, T
通讯作者:
KAKUNAGA, T
影响因子:
64.5
作者:
FU, YH;KUHL, DPA;CASKEY, CT
通讯作者:
CASKEY, CT
影响因子:
12.3
作者:
Dolzhenko, Egor;Bennett, Mark F.;Eberle, Michael A.
通讯作者:
Eberle, Michael A.
影响因子:
3.7
作者:
Wang, Xuewen;Huang, Meng;Budowle, Bruce;Ge, Jianye
通讯作者:
Ge, Jianye
影响因子:
14.9
作者:
Benson, G
通讯作者:
Benson, G