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GeneFriends: gene co-expression databases and tools for humans and model organisms

Gene co-expression analysis has emerged as a powerful method to provide insights into gene function and regulation. The rapid growth of publicly available RNA-sequencing (RNA-seq) data has created opportunities for researchers to employ this abundant data to help decipher the complexity and biology...

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Autores principales: Raina, Priyanka, Guinea, Rodrigo, Chatsirisupachai, Kasit, Lopes, Inês, Farooq, Zoya, Guinea, Cristina, Solyom, Csaba-Attila, de Magalhães, João Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825523/
https://www.ncbi.nlm.nih.gov/pubmed/36454018
http://dx.doi.org/10.1093/nar/gkac1031
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author Raina, Priyanka
Guinea, Rodrigo
Chatsirisupachai, Kasit
Lopes, Inês
Farooq, Zoya
Guinea, Cristina
Solyom, Csaba-Attila
de Magalhães, João Pedro
author_facet Raina, Priyanka
Guinea, Rodrigo
Chatsirisupachai, Kasit
Lopes, Inês
Farooq, Zoya
Guinea, Cristina
Solyom, Csaba-Attila
de Magalhães, João Pedro
author_sort Raina, Priyanka
collection PubMed
description Gene co-expression analysis has emerged as a powerful method to provide insights into gene function and regulation. The rapid growth of publicly available RNA-sequencing (RNA-seq) data has created opportunities for researchers to employ this abundant data to help decipher the complexity and biology of genomes. Co-expression networks have proven effective for inferring the relationship between the genes, for gene prioritization and for assigning function to poorly annotated genes based on their co-expressed partners. To facilitate such analyses we created previously an online co-expression tool for humans and mice entitled GeneFriends. To continue providing a valuable tool to the scientific community, we have now updated the GeneFriends database and website. Here, we present the new version of GeneFriends, which includes gene and transcript co-expression networks based on RNA-seq data from 46 475 human and 34 322 mouse samples. The new database also encompasses tissue-specific gene co-expression networks for 20 human and 21 mouse tissues, dataset-specific gene co-expression maps based on TCGA and GTEx projects and gene co-expression networks for additional seven model organisms (fruit fly, zebrafish, worm, rat, yeast, cow and chicken). GeneFriends is freely available at http://www.genefriends.org/.
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spelling pubmed-98255232023-01-10 GeneFriends: gene co-expression databases and tools for humans and model organisms Raina, Priyanka Guinea, Rodrigo Chatsirisupachai, Kasit Lopes, Inês Farooq, Zoya Guinea, Cristina Solyom, Csaba-Attila de Magalhães, João Pedro Nucleic Acids Res Database Issue Gene co-expression analysis has emerged as a powerful method to provide insights into gene function and regulation. The rapid growth of publicly available RNA-sequencing (RNA-seq) data has created opportunities for researchers to employ this abundant data to help decipher the complexity and biology of genomes. Co-expression networks have proven effective for inferring the relationship between the genes, for gene prioritization and for assigning function to poorly annotated genes based on their co-expressed partners. To facilitate such analyses we created previously an online co-expression tool for humans and mice entitled GeneFriends. To continue providing a valuable tool to the scientific community, we have now updated the GeneFriends database and website. Here, we present the new version of GeneFriends, which includes gene and transcript co-expression networks based on RNA-seq data from 46 475 human and 34 322 mouse samples. The new database also encompasses tissue-specific gene co-expression networks for 20 human and 21 mouse tissues, dataset-specific gene co-expression maps based on TCGA and GTEx projects and gene co-expression networks for additional seven model organisms (fruit fly, zebrafish, worm, rat, yeast, cow and chicken). GeneFriends is freely available at http://www.genefriends.org/. Oxford University Press 2022-12-01 /pmc/articles/PMC9825523/ /pubmed/36454018 http://dx.doi.org/10.1093/nar/gkac1031 Text en © The Author(s) 2022. 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 (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
Raina, Priyanka
Guinea, Rodrigo
Chatsirisupachai, Kasit
Lopes, Inês
Farooq, Zoya
Guinea, Cristina
Solyom, Csaba-Attila
de Magalhães, João Pedro
GeneFriends: gene co-expression databases and tools for humans and model organisms
title GeneFriends: gene co-expression databases and tools for humans and model organisms
title_full GeneFriends: gene co-expression databases and tools for humans and model organisms
title_fullStr GeneFriends: gene co-expression databases and tools for humans and model organisms
title_full_unstemmed GeneFriends: gene co-expression databases and tools for humans and model organisms
title_short GeneFriends: gene co-expression databases and tools for humans and model organisms
title_sort genefriends: gene co-expression databases and tools for humans and model organisms
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825523/
https://www.ncbi.nlm.nih.gov/pubmed/36454018
http://dx.doi.org/10.1093/nar/gkac1031
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