lncFunTK: a toolkit for functional annotation of long noncoding RNAs

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• High-throughput RNA sequencing has identified numerous long noncoding RNAs (lncRNAs).
• Functional annotation and prioritization of these lncRNAs present a significant challenge in noncoding RNA research.
• Identifying the roles of novel lncRNAs is crucial for understanding complex biological processes.

Purpose of the Study:

• To introduce lncFunTK, a computational tool for the functional annotation and prioritization of long noncoding RNAs (lncRNAs).
• To enable researchers to efficiently identify and validate the functions of newly discovered lncRNAs.
• To overcome the bottleneck in noncoding RNA studies by providing a robust analytical framework.

Main Methods:

• lncFunTK integrates multiple high-throughput sequencing data types, including ChIP-seq, CLIP-seq, and RNA-seq.
• It constructs regulatory networks associated with lncRNAs to infer functional relationships.
• The Functional Information Score (FIS) is calculated for each lncRNA based on its network neighbors and Gene Ontology (GO) terms.

Main Results:

• lncFunTK provides a standalone application and a webserver for broad accessibility.
• The tool successfully prioritizes lncRNAs and infers their functions by analyzing neighboring genes in regulatory networks.
• Utility scripts are included for data preprocessing and parameter optimization, enhancing usability.
• Demonstrated wide applicability across diverse biological systems for lncRNA analysis.

Conclusions:

• lncFunTK effectively addresses the challenge of lncRNA functional annotation and prioritization.
• The tool facilitates experimental validation by providing a ranked list of candidate lncRNAs.
• lncFunTK is a valuable resource for the noncoding RNA research community, available as open-source software and a web service.