Cargando…
GeneValidator: identify problems with protein-coding gene predictions
Summary: Genomes of emerging model organisms are now being sequenced at very low cost. However, obtaining accurate gene predictions remains challenging: even the best gene prediction algorithms make substantial errors and can jeopardize subsequent analyses. Therefore, many predicted genes must be ti...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866521/ https://www.ncbi.nlm.nih.gov/pubmed/26787666 http://dx.doi.org/10.1093/bioinformatics/btw015 |
_version_ | 1782431926768893952 |
---|---|
author | Drăgan, Monica-Andreea Moghul, Ismail Priyam, Anurag Bustos, Claudio Wurm, Yannick |
author_facet | Drăgan, Monica-Andreea Moghul, Ismail Priyam, Anurag Bustos, Claudio Wurm, Yannick |
author_sort | Drăgan, Monica-Andreea |
collection | PubMed |
description | Summary: Genomes of emerging model organisms are now being sequenced at very low cost. However, obtaining accurate gene predictions remains challenging: even the best gene prediction algorithms make substantial errors and can jeopardize subsequent analyses. Therefore, many predicted genes must be time-consumingly visually inspected and manually curated. We developed GeneValidator (GV) to automatically identify problematic gene predictions and to aid manual curation. For each gene, GV performs multiple analyses based on comparisons to gene sequences from large databases. The resulting report identifies problematic gene predictions and includes extensive statistics and graphs for each prediction to guide manual curation efforts. GV thus accelerates and enhances the work of biocurators and researchers who need accurate gene predictions from newly sequenced genomes. Availability and implementation: GV can be used through a web interface or in the command-line. GV is open-source (AGPL), available at https://wurmlab.github.io/tools/genevalidator. Contact: y.wurm@qmul.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4866521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-48665212016-05-16 GeneValidator: identify problems with protein-coding gene predictions Drăgan, Monica-Andreea Moghul, Ismail Priyam, Anurag Bustos, Claudio Wurm, Yannick Bioinformatics Applications Notes Summary: Genomes of emerging model organisms are now being sequenced at very low cost. However, obtaining accurate gene predictions remains challenging: even the best gene prediction algorithms make substantial errors and can jeopardize subsequent analyses. Therefore, many predicted genes must be time-consumingly visually inspected and manually curated. We developed GeneValidator (GV) to automatically identify problematic gene predictions and to aid manual curation. For each gene, GV performs multiple analyses based on comparisons to gene sequences from large databases. The resulting report identifies problematic gene predictions and includes extensive statistics and graphs for each prediction to guide manual curation efforts. GV thus accelerates and enhances the work of biocurators and researchers who need accurate gene predictions from newly sequenced genomes. Availability and implementation: GV can be used through a web interface or in the command-line. GV is open-source (AGPL), available at https://wurmlab.github.io/tools/genevalidator. Contact: y.wurm@qmul.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-05-15 2016-01-18 /pmc/articles/PMC4866521/ /pubmed/26787666 http://dx.doi.org/10.1093/bioinformatics/btw015 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Drăgan, Monica-Andreea Moghul, Ismail Priyam, Anurag Bustos, Claudio Wurm, Yannick GeneValidator: identify problems with protein-coding gene predictions |
title | GeneValidator: identify problems with protein-coding gene predictions |
title_full | GeneValidator: identify problems with protein-coding gene predictions |
title_fullStr | GeneValidator: identify problems with protein-coding gene predictions |
title_full_unstemmed | GeneValidator: identify problems with protein-coding gene predictions |
title_short | GeneValidator: identify problems with protein-coding gene predictions |
title_sort | genevalidator: identify problems with protein-coding gene predictions |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866521/ https://www.ncbi.nlm.nih.gov/pubmed/26787666 http://dx.doi.org/10.1093/bioinformatics/btw015 |
work_keys_str_mv | AT draganmonicaandreea genevalidatoridentifyproblemswithproteincodinggenepredictions AT moghulismail genevalidatoridentifyproblemswithproteincodinggenepredictions AT priyamanurag genevalidatoridentifyproblemswithproteincodinggenepredictions AT bustosclaudio genevalidatoridentifyproblemswithproteincodinggenepredictions AT wurmyannick genevalidatoridentifyproblemswithproteincodinggenepredictions |