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PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API
PANTHER (Protein Analysis Through Evolutionary Relationships, http://www.pantherdb.org) is a resource for the evolutionary and functional classification of protein-coding genes from all domains of life. The evolutionary classification is based on a library of over 15,000 phylogenetic trees, and the...
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/PMC7778891/ https://www.ncbi.nlm.nih.gov/pubmed/33290554 http://dx.doi.org/10.1093/nar/gkaa1106 |
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author | Mi, Huaiyu Ebert, Dustin Muruganujan, Anushya Mills, Caitlin Albou, Laurent-Philippe Mushayamaha, Tremayne Thomas, Paul D |
author_facet | Mi, Huaiyu Ebert, Dustin Muruganujan, Anushya Mills, Caitlin Albou, Laurent-Philippe Mushayamaha, Tremayne Thomas, Paul D |
author_sort | Mi, Huaiyu |
collection | PubMed |
description | PANTHER (Protein Analysis Through Evolutionary Relationships, http://www.pantherdb.org) is a resource for the evolutionary and functional classification of protein-coding genes from all domains of life. The evolutionary classification is based on a library of over 15,000 phylogenetic trees, and the functional classifications include Gene Ontology terms and pathways. Here, we analyze the current coverage of genes from genomes in different taxonomic groups, so that users can better understand what to expect when analyzing a gene list using PANTHER tools. We also describe extensive improvements to PANTHER made in the past two years. The PANTHER Protein Class ontology has been completely refactored, and 6101 PANTHER families have been manually assigned to a Protein Class, providing a high level classification of protein families and their genes. Users can access the TreeGrafter tool to add their own protein sequences to the reference phylogenetic trees in PANTHER, to infer evolutionary context as well as fine-grained annotations. We have added human enhancer-gene links that associate non-coding regions with the annotated human genes in PANTHER. We have also expanded the available services for programmatic access to PANTHER tools and data via application programming interfaces (APIs). Other improvements include additional plant genomes and an updated PANTHER GO-slim. |
format | Online Article Text |
id | pubmed-7778891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77788912021-01-06 PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API Mi, Huaiyu Ebert, Dustin Muruganujan, Anushya Mills, Caitlin Albou, Laurent-Philippe Mushayamaha, Tremayne Thomas, Paul D Nucleic Acids Res Database Issue PANTHER (Protein Analysis Through Evolutionary Relationships, http://www.pantherdb.org) is a resource for the evolutionary and functional classification of protein-coding genes from all domains of life. The evolutionary classification is based on a library of over 15,000 phylogenetic trees, and the functional classifications include Gene Ontology terms and pathways. Here, we analyze the current coverage of genes from genomes in different taxonomic groups, so that users can better understand what to expect when analyzing a gene list using PANTHER tools. We also describe extensive improvements to PANTHER made in the past two years. The PANTHER Protein Class ontology has been completely refactored, and 6101 PANTHER families have been manually assigned to a Protein Class, providing a high level classification of protein families and their genes. Users can access the TreeGrafter tool to add their own protein sequences to the reference phylogenetic trees in PANTHER, to infer evolutionary context as well as fine-grained annotations. We have added human enhancer-gene links that associate non-coding regions with the annotated human genes in PANTHER. We have also expanded the available services for programmatic access to PANTHER tools and data via application programming interfaces (APIs). Other improvements include additional plant genomes and an updated PANTHER GO-slim. Oxford University Press 2020-12-08 /pmc/articles/PMC7778891/ /pubmed/33290554 http://dx.doi.org/10.1093/nar/gkaa1106 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 | Database Issue Mi, Huaiyu Ebert, Dustin Muruganujan, Anushya Mills, Caitlin Albou, Laurent-Philippe Mushayamaha, Tremayne Thomas, Paul D PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API |
title | PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API |
title_full | PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API |
title_fullStr | PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API |
title_full_unstemmed | PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API |
title_short | PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API |
title_sort | panther version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive api |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778891/ https://www.ncbi.nlm.nih.gov/pubmed/33290554 http://dx.doi.org/10.1093/nar/gkaa1106 |
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