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GeneFriends: a human RNA-seq-based gene and transcript co-expression database
Co-expression networks have proven effective at assigning putative functions to genes based on the functional annotation of their co-expressed partners, in candidate gene prioritization studies and in improving our understanding of regulatory networks. The growing number of genome resequencing effor...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383890/ https://www.ncbi.nlm.nih.gov/pubmed/25361971 http://dx.doi.org/10.1093/nar/gku1042 |
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author | van Dam, Sipko Craig, Thomas de Magalhães, João Pedro |
author_facet | van Dam, Sipko Craig, Thomas de Magalhães, João Pedro |
author_sort | van Dam, Sipko |
collection | PubMed |
description | Co-expression networks have proven effective at assigning putative functions to genes based on the functional annotation of their co-expressed partners, in candidate gene prioritization studies and in improving our understanding of regulatory networks. The growing number of genome resequencing efforts and genome-wide association studies often identify loci containing novel genes and there is a need to infer their functions and interaction partners. To facilitate this we have expanded GeneFriends, an online database that allows users to identify co-expressed genes with one or more user-defined genes. This expansion entails an RNA-seq-based co-expression map that includes genes and transcripts that are not present in the microarray-based co-expression maps, including over 10 000 non-coding RNAs. The results users obtain from GeneFriends include a co-expression network as well as a summary of the functional enrichment among the co-expressed genes. Novel insights can be gathered from this database for different splice variants and ncRNAs, such as microRNAs and lincRNAs. Furthermore, our updated tool allows candidate transcripts to be linked to diseases and processes using a guilt-by-association approach. GeneFriends is freely available from http://www.GeneFriends.org and can be used to quickly identify and rank candidate targets relevant to the process or disease under study. |
format | Online Article Text |
id | pubmed-4383890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43838902015-04-08 GeneFriends: a human RNA-seq-based gene and transcript co-expression database van Dam, Sipko Craig, Thomas de Magalhães, João Pedro Nucleic Acids Res Database Issue Co-expression networks have proven effective at assigning putative functions to genes based on the functional annotation of their co-expressed partners, in candidate gene prioritization studies and in improving our understanding of regulatory networks. The growing number of genome resequencing efforts and genome-wide association studies often identify loci containing novel genes and there is a need to infer their functions and interaction partners. To facilitate this we have expanded GeneFriends, an online database that allows users to identify co-expressed genes with one or more user-defined genes. This expansion entails an RNA-seq-based co-expression map that includes genes and transcripts that are not present in the microarray-based co-expression maps, including over 10 000 non-coding RNAs. The results users obtain from GeneFriends include a co-expression network as well as a summary of the functional enrichment among the co-expressed genes. Novel insights can be gathered from this database for different splice variants and ncRNAs, such as microRNAs and lincRNAs. Furthermore, our updated tool allows candidate transcripts to be linked to diseases and processes using a guilt-by-association approach. GeneFriends is freely available from http://www.GeneFriends.org and can be used to quickly identify and rank candidate targets relevant to the process or disease under study. Oxford University Press 2014-10-31 2015-01-28 /pmc/articles/PMC4383890/ /pubmed/25361971 http://dx.doi.org/10.1093/nar/gku1042 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. https://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/ (https://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 van Dam, Sipko Craig, Thomas de Magalhães, João Pedro GeneFriends: a human RNA-seq-based gene and transcript co-expression database |
title | GeneFriends: a human RNA-seq-based gene and transcript co-expression database |
title_full | GeneFriends: a human RNA-seq-based gene and transcript co-expression database |
title_fullStr | GeneFriends: a human RNA-seq-based gene and transcript co-expression database |
title_full_unstemmed | GeneFriends: a human RNA-seq-based gene and transcript co-expression database |
title_short | GeneFriends: a human RNA-seq-based gene and transcript co-expression database |
title_sort | genefriends: a human rna-seq-based gene and transcript co-expression database |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383890/ https://www.ncbi.nlm.nih.gov/pubmed/25361971 http://dx.doi.org/10.1093/nar/gku1042 |
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