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

Wen ChenJing LiShulan HuangXiaodeng LiXuan ZhangXiang HuShuanglin XiangChangning Liu
Published in: Current issues in molecular biology (2022)
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.
Keyphrases
  • network analysis
  • rna seq
  • genome wide identification
  • poor prognosis
  • copy number
  • genome wide
  • single cell
  • genome wide analysis
  • binding protein
  • transcription factor
  • high throughput