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MutantHuntWGS: A Pipeline for Identifying Saccharomyces cerevisiae Mutations
MutantHuntWGS is a user-friendly pipeline for analyzing Saccharomyces cerevisiae whole-genome sequencing data. It uses available open-source programs to: (1) perform sequence alignments for paired and single-end reads, (2) call variants, and (3) predict variant effect and severity. MutantHuntWGS out...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7466961/ https://www.ncbi.nlm.nih.gov/pubmed/32605926 http://dx.doi.org/10.1534/g3.120.401396 |
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author | Ellison, Mitchell A. Walker, Jennifer L. Ropp, Patrick J. Durrant, Jacob D. Arndt, Karen M. |
author_facet | Ellison, Mitchell A. Walker, Jennifer L. Ropp, Patrick J. Durrant, Jacob D. Arndt, Karen M. |
author_sort | Ellison, Mitchell A. |
collection | PubMed |
description | MutantHuntWGS is a user-friendly pipeline for analyzing Saccharomyces cerevisiae whole-genome sequencing data. It uses available open-source programs to: (1) perform sequence alignments for paired and single-end reads, (2) call variants, and (3) predict variant effect and severity. MutantHuntWGS outputs a shortlist of variants while also enabling access to all intermediate files. To demonstrate its utility, we use MutantHuntWGS to assess multiple published datasets; in all cases, it detects the same causal variants reported in the literature. To encourage broad adoption and promote reproducibility, we distribute a containerized version of the MutantHuntWGS pipeline that allows users to install and analyze data with only two commands. The MutantHuntWGS software and documentation can be downloaded free of charge from https://github.com/mae92/MutantHuntWGS. |
format | Online Article Text |
id | pubmed-7466961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-74669612020-09-14 MutantHuntWGS: A Pipeline for Identifying Saccharomyces cerevisiae Mutations Ellison, Mitchell A. Walker, Jennifer L. Ropp, Patrick J. Durrant, Jacob D. Arndt, Karen M. G3 (Bethesda) Software and Data Resources MutantHuntWGS is a user-friendly pipeline for analyzing Saccharomyces cerevisiae whole-genome sequencing data. It uses available open-source programs to: (1) perform sequence alignments for paired and single-end reads, (2) call variants, and (3) predict variant effect and severity. MutantHuntWGS outputs a shortlist of variants while also enabling access to all intermediate files. To demonstrate its utility, we use MutantHuntWGS to assess multiple published datasets; in all cases, it detects the same causal variants reported in the literature. To encourage broad adoption and promote reproducibility, we distribute a containerized version of the MutantHuntWGS pipeline that allows users to install and analyze data with only two commands. The MutantHuntWGS software and documentation can be downloaded free of charge from https://github.com/mae92/MutantHuntWGS. Genetics Society of America 2020-06-30 /pmc/articles/PMC7466961/ /pubmed/32605926 http://dx.doi.org/10.1534/g3.120.401396 Text en Copyright © 2020 Ellison et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software and Data Resources Ellison, Mitchell A. Walker, Jennifer L. Ropp, Patrick J. Durrant, Jacob D. Arndt, Karen M. MutantHuntWGS: A Pipeline for Identifying Saccharomyces cerevisiae Mutations |
title | MutantHuntWGS: A Pipeline for Identifying Saccharomyces cerevisiae Mutations |
title_full | MutantHuntWGS: A Pipeline for Identifying Saccharomyces cerevisiae Mutations |
title_fullStr | MutantHuntWGS: A Pipeline for Identifying Saccharomyces cerevisiae Mutations |
title_full_unstemmed | MutantHuntWGS: A Pipeline for Identifying Saccharomyces cerevisiae Mutations |
title_short | MutantHuntWGS: A Pipeline for Identifying Saccharomyces cerevisiae Mutations |
title_sort | mutanthuntwgs: a pipeline for identifying saccharomyces cerevisiae mutations |
topic | Software and Data Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7466961/ https://www.ncbi.nlm.nih.gov/pubmed/32605926 http://dx.doi.org/10.1534/g3.120.401396 |
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