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PseudoChecker: an integrated online platform for gene inactivation inference
The rapid expansion of high-quality genome assemblies, exemplified by ongoing initiatives such as the Genome-10K and i5k, demands novel automated methods to approach comparative genomics. Of these, the study of inactivating mutations in the coding region of genes, or pseudogenization, as a source of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319564/ https://www.ncbi.nlm.nih.gov/pubmed/32449938 http://dx.doi.org/10.1093/nar/gkaa408 |
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author | Alves, Luís Q Ruivo, Raquel Fonseca, Miguel M Lopes-Marques, Mónica Ribeiro, Pedro Castro, L Filipe C |
author_facet | Alves, Luís Q Ruivo, Raquel Fonseca, Miguel M Lopes-Marques, Mónica Ribeiro, Pedro Castro, L Filipe C |
author_sort | Alves, Luís Q |
collection | PubMed |
description | The rapid expansion of high-quality genome assemblies, exemplified by ongoing initiatives such as the Genome-10K and i5k, demands novel automated methods to approach comparative genomics. Of these, the study of inactivating mutations in the coding region of genes, or pseudogenization, as a source of evolutionary novelty is mostly overlooked. Thus, to address such evolutionary/genomic events, a systematic, accurate and computationally automated approach is required. Here, we present PseudoChecker, the first integrated online platform for gene inactivation inference. Unlike the few existing methods, our comparative genomics-based approach displays full automation, a built-in graphical user interface and a novel index, PseudoIndex, for an empirical evaluation of the gene coding status. As a multi-platform online service, PseudoChecker simplifies access and usability, allowing a fast identification of disruptive mutations. An analysis of 30 genes previously reported to be eroded in mammals, and 30 viable genes from the same lineages, demonstrated that PseudoChecker was able to correctly infer 97% of loss events and 95% of functional genes, confirming its reliability. PseudoChecker is freely available, without login required, at http://pseudochecker.ciimar.up.pt. |
format | Online Article Text |
id | pubmed-7319564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73195642020-07-01 PseudoChecker: an integrated online platform for gene inactivation inference Alves, Luís Q Ruivo, Raquel Fonseca, Miguel M Lopes-Marques, Mónica Ribeiro, Pedro Castro, L Filipe C Nucleic Acids Res Web Server Issue The rapid expansion of high-quality genome assemblies, exemplified by ongoing initiatives such as the Genome-10K and i5k, demands novel automated methods to approach comparative genomics. Of these, the study of inactivating mutations in the coding region of genes, or pseudogenization, as a source of evolutionary novelty is mostly overlooked. Thus, to address such evolutionary/genomic events, a systematic, accurate and computationally automated approach is required. Here, we present PseudoChecker, the first integrated online platform for gene inactivation inference. Unlike the few existing methods, our comparative genomics-based approach displays full automation, a built-in graphical user interface and a novel index, PseudoIndex, for an empirical evaluation of the gene coding status. As a multi-platform online service, PseudoChecker simplifies access and usability, allowing a fast identification of disruptive mutations. An analysis of 30 genes previously reported to be eroded in mammals, and 30 viable genes from the same lineages, demonstrated that PseudoChecker was able to correctly infer 97% of loss events and 95% of functional genes, confirming its reliability. PseudoChecker is freely available, without login required, at http://pseudochecker.ciimar.up.pt. Oxford University Press 2020-07-02 2020-05-25 /pmc/articles/PMC7319564/ /pubmed/32449938 http://dx.doi.org/10.1093/nar/gkaa408 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue Alves, Luís Q Ruivo, Raquel Fonseca, Miguel M Lopes-Marques, Mónica Ribeiro, Pedro Castro, L Filipe C PseudoChecker: an integrated online platform for gene inactivation inference |
title | PseudoChecker: an integrated online platform for gene inactivation inference |
title_full | PseudoChecker: an integrated online platform for gene inactivation inference |
title_fullStr | PseudoChecker: an integrated online platform for gene inactivation inference |
title_full_unstemmed | PseudoChecker: an integrated online platform for gene inactivation inference |
title_short | PseudoChecker: an integrated online platform for gene inactivation inference |
title_sort | pseudochecker: an integrated online platform for gene inactivation inference |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319564/ https://www.ncbi.nlm.nih.gov/pubmed/32449938 http://dx.doi.org/10.1093/nar/gkaa408 |
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