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OAHG: an integrated resource for annotating human genes with multi-level ontologies
OAHG, an integrated resource, aims to establish a comprehensive functional annotation resource for human protein-coding genes (PCGs), miRNAs, and lncRNAs by multi-level ontologies involving Gene Ontology (GO), Disease Ontology (DO), and Human Phenotype Ontology (HPO). Many previous studies have focu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5050487/ https://www.ncbi.nlm.nih.gov/pubmed/27703231 http://dx.doi.org/10.1038/srep34820 |
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author | Cheng, Liang Sun, Jie Xu, Wanying Dong, Lixiang Hu, Yang Zhou, Meng |
author_facet | Cheng, Liang Sun, Jie Xu, Wanying Dong, Lixiang Hu, Yang Zhou, Meng |
author_sort | Cheng, Liang |
collection | PubMed |
description | OAHG, an integrated resource, aims to establish a comprehensive functional annotation resource for human protein-coding genes (PCGs), miRNAs, and lncRNAs by multi-level ontologies involving Gene Ontology (GO), Disease Ontology (DO), and Human Phenotype Ontology (HPO). Many previous studies have focused on inferring putative properties and biological functions of PCGs and non-coding RNA genes from different perspectives. During the past several decades, a few of databases have been designed to annotate the functions of PCGs, miRNAs, and lncRNAs, respectively. A part of functional descriptions in these databases were mapped to standardize terminologies, such as GO, which could be helpful to do further analysis. Despite these developments, there is no comprehensive resource recording the function of these three important types of genes. The current version of OAHG, release 1.0 (Jun 2016), integrates three ontologies involving GO, DO, and HPO, six gene functional databases and two interaction databases. Currently, OAHG contains 1,434,694 entries involving 16,929 PCGs, 637 miRNAs, 193 lncRNAs, and 24,894 terms of ontologies. During the performance evaluation, OAHG shows the consistencies with existing gene interactions and the structure of ontology. For example, terms with more similar structure could be associated with more associated genes (Pearson correlation γ(2) = 0.2428, p < 2.2e–16). |
format | Online Article Text |
id | pubmed-5050487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50504872016-10-11 OAHG: an integrated resource for annotating human genes with multi-level ontologies Cheng, Liang Sun, Jie Xu, Wanying Dong, Lixiang Hu, Yang Zhou, Meng Sci Rep Article OAHG, an integrated resource, aims to establish a comprehensive functional annotation resource for human protein-coding genes (PCGs), miRNAs, and lncRNAs by multi-level ontologies involving Gene Ontology (GO), Disease Ontology (DO), and Human Phenotype Ontology (HPO). Many previous studies have focused on inferring putative properties and biological functions of PCGs and non-coding RNA genes from different perspectives. During the past several decades, a few of databases have been designed to annotate the functions of PCGs, miRNAs, and lncRNAs, respectively. A part of functional descriptions in these databases were mapped to standardize terminologies, such as GO, which could be helpful to do further analysis. Despite these developments, there is no comprehensive resource recording the function of these three important types of genes. The current version of OAHG, release 1.0 (Jun 2016), integrates three ontologies involving GO, DO, and HPO, six gene functional databases and two interaction databases. Currently, OAHG contains 1,434,694 entries involving 16,929 PCGs, 637 miRNAs, 193 lncRNAs, and 24,894 terms of ontologies. During the performance evaluation, OAHG shows the consistencies with existing gene interactions and the structure of ontology. For example, terms with more similar structure could be associated with more associated genes (Pearson correlation γ(2) = 0.2428, p < 2.2e–16). Nature Publishing Group 2016-10-05 /pmc/articles/PMC5050487/ /pubmed/27703231 http://dx.doi.org/10.1038/srep34820 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Cheng, Liang Sun, Jie Xu, Wanying Dong, Lixiang Hu, Yang Zhou, Meng OAHG: an integrated resource for annotating human genes with multi-level ontologies |
title | OAHG: an integrated resource for annotating human genes with multi-level ontologies |
title_full | OAHG: an integrated resource for annotating human genes with multi-level ontologies |
title_fullStr | OAHG: an integrated resource for annotating human genes with multi-level ontologies |
title_full_unstemmed | OAHG: an integrated resource for annotating human genes with multi-level ontologies |
title_short | OAHG: an integrated resource for annotating human genes with multi-level ontologies |
title_sort | oahg: an integrated resource for annotating human genes with multi-level ontologies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5050487/ https://www.ncbi.nlm.nih.gov/pubmed/27703231 http://dx.doi.org/10.1038/srep34820 |
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