| Title | GCEN: An Easy-to-Use Toolkit for Gene Co-Expression Network Analysis and lncRNAs Annotation |
| Author | Chen, Wen |
| Publication | CURRENT ISSUES IN MOLECULAR BIOLOGY |
| Year | 2022 |
| Volume | 44 |
| Issue | 4 |
| Corresponding Author | Xiang, SL;Liu, CN |
| Abstract | 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. |
