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

Author:

Raina Priyanka1,Guinea Rodrigo1,Chatsirisupachai Kasit1,Lopes Inês1,Farooq Zoya1,Guinea Cristina2,Solyom Csaba-Attila1,de Magalhães João Pedro13ORCID

Affiliation:

1. Integrative Genomics of Ageing Group, Institute of Life Course and Medical Sciences, University of Liverpool , Liverpool  L7 8TX, UK

2. UCAL - Universidad de Ciencias y Artes de América Latina, Faculty of Design , Lima  15026, Perú

3. Institute of Inflammation and Ageing, University of Birmingham, Queen Elizabeth Hospital, Mindelsohn Way , Birmingham  B15 2WB, UK

Abstract

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/.

Funder

Wellcome Trust

BBSRC

Mahidol University

University of Liverpool

Publisher

Oxford University Press (OUP)

Subject

Genetics

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