GCEN: An Easy-to-Use Toolkit for Gene Co-Expression Network Analysis and lncRNAs Annotation

Gene co-expression network analysis has been widely used in gene function annotation, especially for long noncoding RNAs (lncRNAs). However, there is a lack of effective cross-platform analysis tools. For biologists to easily build a gene co-expression network and to predict gene function, we develo...

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Veröffentlicht in:Current issues in molecular biology 2022-03, Vol.44 (4), p.1479-1487
Hauptverfasser: Chen, Wen, Li, Jing, Huang, Shulan, Li, Xiaodeng, Zhang, Xuan, Hu, Xiang, Xiang, Shuanglin, Liu, Changning
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Sprache:eng
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Zusammenfassung:Gene co-expression network analysis has been widely used in gene function annotation, especially for long noncoding RNAs (lncRNAs). However, there is a lack of effective cross-platform analysis tools. For biologists to easily build a gene co-expression network and to predict gene function, we developed GCEN, a cross-platform command-line toolkit developed with C++. It is an efficient and easy-to-use solution that will allow everyone to perform gene co-expression network analysis without the requirement of sophisticated programming skills, especially in cases of RNA-Seq research and lncRNAs function annotation. Because of its modular design, GCEN can be easily integrated into other pipelines.
ISSN:1467-3045
1467-3037
1467-3045
DOI:10.3390/cimb44040100