ncFANs v2.0: an integrative platform for functional annotation of non-coding RNAs

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Non-coding RNAs (ncRNAs) play crucial regulatory roles in biological processes.
• Experimental methods for characterizing ncRNA functions are time-consuming and resource-intensive.

Purpose of the Study:

• To present ncFANs v2.0, an enhanced online platform for computational ncRNA functional annotation.
• To provide researchers with efficient tools for deciphering ncRNA regulatory mechanisms.

Main Methods:

• Development of ncFANs v2.0 with three integrated modules: ncFANs-NET, ncFANs-eLnc, and ncFANs-CHIP.
• nc ફે Ns-NET utilizes pre-built networks (co-expression, co-methylation, lncRNA-centric, random forest) for data-free annotation.
• nc ફે Ns-eLnc identifies enhancer-derived lncRNAs from transcriptomes.
• nc ફે Ns-CHIP supports microarray data analysis and additional chip types.

Main Results:

• nc ફે Ns v2.0 offers a comprehensive suite of computational tools for ncRNA functional annotation.
• The platform integrates novel data-free annotation methods and enhancer-derived lncRNA identification.
• Enhanced support for ChIP-based data analysis is provided.

Conclusions:

• nc ફે Ns v2.0 provides a practical and convenient resource for biological researchers.
• The platform facilitates the elucidation of ncRNA regulatory roles and mechanisms.
• nc ફે Ns v2.0 aims to accelerate discoveries in ncRNA biology.