GCEN

GCEN performs gene co-expression network analysis and long noncoding RNA (lncRNA) annotation using RNA-Seq expression data.

Key Features:

• Gene co-expression network construction: Builds networks that identify genes with similar expression patterns across conditions or tissues.
• lncRNA annotation: Predicts functional associations of long noncoding RNAs (lncRNAs) through co-expression relationships.
• RNA-Seq support: Operates on RNA-Seq expression data as the input for network analysis.
• Implementation language: Implemented in C++.
• Modular design: Provides modular components intended for integration into existing bioinformatics pipelines.

Scientific Applications:

• Gene function annotation: Infers putative gene functions by identifying co-expressed gene modules.
• lncRNA functional prediction: Assists in predicting regulatory roles and functional associations of lncRNAs via co-expression patterns.
• RNA-Seq expression analysis: Enables analysis of expression patterns across tissues or experimental conditions to study regulatory mechanisms.

Methodology:

Implemented in C++ as a modular toolkit that constructs gene co-expression networks from RNA-Seq expression data to support lncRNA annotation.