GeneFriends: a human RNA-seq-based gene and transcript co-expression database

被引:87
|
作者
van Dam, Sipko [1 ]
Craig, Thomas [1 ]
de Magalhaes, Joao Pedro [1 ]
机构
[1] Univ Liverpool, Inst Integrat Biol, Integrat Genom Ageing Grp, Liverpool L69 3BX, Merseyside, England
基金
英国生物技术与生命科学研究理事会;
关键词
POTENTIAL SERUM MARKER; NETWORK ANALYSIS; EXPRESSION DATA; NONCODING RNA; TOOL; INTEGRATION; CANCER; IDENTIFICATION; VISUALIZATION; ASSOCIATION;
D O I
10.1093/nar/gku1042
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:D1124 / D1132
页数:9
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