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Gene Ontology Meta Annotator for Plants (GOMAP)

Annotating gene structures and functions to genome assemblies is necessary to make assembly resources useful for biological inference. Gene Ontology (GO) term assignment is the most used functional annotation system, and new methods for GO assignment have improved the quality of GO-based function pr...

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Autores principales: Wimalanathan, Kokulapalan, Lawrence-Dill, Carolyn J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146647/
https://www.ncbi.nlm.nih.gov/pubmed/34034755
http://dx.doi.org/10.1186/s13007-021-00754-1
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author Wimalanathan, Kokulapalan
Lawrence-Dill, Carolyn J.
author_facet Wimalanathan, Kokulapalan
Lawrence-Dill, Carolyn J.
author_sort Wimalanathan, Kokulapalan
collection PubMed
description Annotating gene structures and functions to genome assemblies is necessary to make assembly resources useful for biological inference. Gene Ontology (GO) term assignment is the most used functional annotation system, and new methods for GO assignment have improved the quality of GO-based function predictions. The Gene Ontology Meta Annotator for Plants (GOMAP) is an optimized, high-throughput, and reproducible pipeline for genome-scale GO annotation of plants. We containerized GOMAP to increase portability and reproducibility and also optimized its performance for HPC environments. Here we report on the pipeline’s availability and performance for annotating large, repetitive plant genomes and describe how GOMAP was used to annotate multiple maize genomes as a test case. Assessment shows that GOMAP expands and improves the number of genes annotated and annotations assigned per gene as well as the quality (based on [Formula: see text] ) of GO assignments in maize. GOMAP has been deployed to annotate other species including wheat, rice, barley, cotton, and soy. Instructions and access to the GOMAP Singularity container are freely available online at https://bioinformapping.com/gomap/. A list of annotated genomes and links to data is maintained at https://dill-picl.org/projects/gomap/. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-021-00754-1.
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spelling pubmed-81466472021-05-25 Gene Ontology Meta Annotator for Plants (GOMAP) Wimalanathan, Kokulapalan Lawrence-Dill, Carolyn J. Plant Methods Software Annotating gene structures and functions to genome assemblies is necessary to make assembly resources useful for biological inference. Gene Ontology (GO) term assignment is the most used functional annotation system, and new methods for GO assignment have improved the quality of GO-based function predictions. The Gene Ontology Meta Annotator for Plants (GOMAP) is an optimized, high-throughput, and reproducible pipeline for genome-scale GO annotation of plants. We containerized GOMAP to increase portability and reproducibility and also optimized its performance for HPC environments. Here we report on the pipeline’s availability and performance for annotating large, repetitive plant genomes and describe how GOMAP was used to annotate multiple maize genomes as a test case. Assessment shows that GOMAP expands and improves the number of genes annotated and annotations assigned per gene as well as the quality (based on [Formula: see text] ) of GO assignments in maize. GOMAP has been deployed to annotate other species including wheat, rice, barley, cotton, and soy. Instructions and access to the GOMAP Singularity container are freely available online at https://bioinformapping.com/gomap/. A list of annotated genomes and links to data is maintained at https://dill-picl.org/projects/gomap/. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-021-00754-1. BioMed Central 2021-05-25 /pmc/articles/PMC8146647/ /pubmed/34034755 http://dx.doi.org/10.1186/s13007-021-00754-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Wimalanathan, Kokulapalan
Lawrence-Dill, Carolyn J.
Gene Ontology Meta Annotator for Plants (GOMAP)
title Gene Ontology Meta Annotator for Plants (GOMAP)
title_full Gene Ontology Meta Annotator for Plants (GOMAP)
title_fullStr Gene Ontology Meta Annotator for Plants (GOMAP)
title_full_unstemmed Gene Ontology Meta Annotator for Plants (GOMAP)
title_short Gene Ontology Meta Annotator for Plants (GOMAP)
title_sort gene ontology meta annotator for plants (gomap)
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146647/
https://www.ncbi.nlm.nih.gov/pubmed/34034755
http://dx.doi.org/10.1186/s13007-021-00754-1
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