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pmid:36454018

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

Priyanka Raina · Rodrigo Guinea · Kasit Chatsirisupachai · Inês Lopes · Zoya Farooq · Cristina Guinea · Csaba-Attila Solyom · João Pedro de Magalhães

Nucleic acids research · 2023 doi:10.1093/nar/gkac1031

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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GeneFriends: gene co-expression databases and tools for humans and model organisms.
doi
10.1093/nar/gkac1031
pmid
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Priyanka Raina
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Rodrigo Guinea
[2]
Kasit Chatsirisupachai
[3]
Inês Lopes
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Zoya Farooq
[5]
Cristina Guinea
[6]
Csaba-Attila Solyom
[7]
João Pedro de Magalhães
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Nucleic acids research
year
2023
abstract
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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We compared the number of cancer driver genes presented in the top 5% co-expressed genes of each cancer driver gene between GTEx and TCGA using a two-sided Wilcoxon rank-sum test.
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on RNA-seq data from 46 475 human and 34 322 mouse samples. The new database also encompasses t
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