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HGNChelper: identification and correction of invalid gene symbols for human and mouse
Gene symbols are recognizable identifiers for gene names but are unstable and error-prone due to aliasing, manual entry, and unintentional conversion by spreadsheets to date format. Official gene symbol resources such as HUGO Gene Nomenclature Committee (HGNC) for human genes and the Mouse Genome In...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856679/ https://www.ncbi.nlm.nih.gov/pubmed/33564398 http://dx.doi.org/10.12688/f1000research.28033.2 |
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author | Oh, Sehyun Abdelnabi, Jasmine Al-Dulaimi, Ragheed Aggarwal, Ayush Ramos, Marcel Davis, Sean Riester, Markus Waldron, Levi |
author_facet | Oh, Sehyun Abdelnabi, Jasmine Al-Dulaimi, Ragheed Aggarwal, Ayush Ramos, Marcel Davis, Sean Riester, Markus Waldron, Levi |
author_sort | Oh, Sehyun |
collection | PubMed |
description | Gene symbols are recognizable identifiers for gene names but are unstable and error-prone due to aliasing, manual entry, and unintentional conversion by spreadsheets to date format. Official gene symbol resources such as HUGO Gene Nomenclature Committee (HGNC) for human genes and the Mouse Genome Informatics project (MGI) for mouse genes provide authoritative sources of valid, aliased, and outdated symbols, but lack a programmatic interface and correction of symbols converted by spreadsheets. We present HGNChelper, an R package that identifies known aliases and outdated gene symbols based on the HGNC human and MGI mouse gene symbol databases, in addition to common mislabeling introduced by spreadsheets, and provides corrections where possible. HGNChelper identified invalid gene symbols in the most recent Molecular Signatures Database (MSigDB 7.0) and in platform annotation files of the Gene Expression Omnibus, with prevalence ranging from ~3% in recent platforms to 30-40% in the earliest platforms from 2002-03. HGNChelper is installable from CRAN. |
format | Online Article Text |
id | pubmed-7856679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-78566792021-02-08 HGNChelper: identification and correction of invalid gene symbols for human and mouse Oh, Sehyun Abdelnabi, Jasmine Al-Dulaimi, Ragheed Aggarwal, Ayush Ramos, Marcel Davis, Sean Riester, Markus Waldron, Levi F1000Res Software Tool Article Gene symbols are recognizable identifiers for gene names but are unstable and error-prone due to aliasing, manual entry, and unintentional conversion by spreadsheets to date format. Official gene symbol resources such as HUGO Gene Nomenclature Committee (HGNC) for human genes and the Mouse Genome Informatics project (MGI) for mouse genes provide authoritative sources of valid, aliased, and outdated symbols, but lack a programmatic interface and correction of symbols converted by spreadsheets. We present HGNChelper, an R package that identifies known aliases and outdated gene symbols based on the HGNC human and MGI mouse gene symbol databases, in addition to common mislabeling introduced by spreadsheets, and provides corrections where possible. HGNChelper identified invalid gene symbols in the most recent Molecular Signatures Database (MSigDB 7.0) and in platform annotation files of the Gene Expression Omnibus, with prevalence ranging from ~3% in recent platforms to 30-40% in the earliest platforms from 2002-03. HGNChelper is installable from CRAN. F1000 Research Limited 2022-06-09 /pmc/articles/PMC7856679/ /pubmed/33564398 http://dx.doi.org/10.12688/f1000research.28033.2 Text en Copyright: © 2022 Oh S et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Oh, Sehyun Abdelnabi, Jasmine Al-Dulaimi, Ragheed Aggarwal, Ayush Ramos, Marcel Davis, Sean Riester, Markus Waldron, Levi HGNChelper: identification and correction of invalid gene symbols for human and mouse |
title | HGNChelper: identification and correction of invalid gene symbols for human and mouse |
title_full | HGNChelper: identification and correction of invalid gene symbols for human and mouse |
title_fullStr | HGNChelper: identification and correction of invalid gene symbols for human and mouse |
title_full_unstemmed | HGNChelper: identification and correction of invalid gene symbols for human and mouse |
title_short | HGNChelper: identification and correction of invalid gene symbols for human and mouse |
title_sort | hgnchelper: identification and correction of invalid gene symbols for human and mouse |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856679/ https://www.ncbi.nlm.nih.gov/pubmed/33564398 http://dx.doi.org/10.12688/f1000research.28033.2 |
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