RNA structure framework: automated transcriptome-wide reconstruction of RNA secondary structures from high-throughput...

Area of Science:

• Molecular Biology
• Bioinformatics

Background:

• The discovery of non-coding RNAs (ncRNAs) is rapidly increasing.
• Understanding ncRNA structure is essential for comprehending gene expression regulation.

Purpose of the Study:

• To present a novel analysis toolkit, the RNA Structure Framework (RSF).
• To enable fast and fully-automated analysis of high-throughput RNA structure probing data.
• To facilitate whole-transcriptome RNA structure inference.

Main Methods:

• The RNA Structure Framework (RSF) is presented as an analysis toolkit.
• RSF processes high-throughput RNA structure probing data.
• The toolkit covers data pre-processing to whole-transcriptome RNA structure inference.

Main Results:

• RSF allows fast and fully-automated analysis of structure probing data.
• The toolkit supports unbiased structural inference of RNA residues in native conformation.
• Enables whole-genome studies of RNA secondary structures.

Conclusions:

• RSF provides a comprehensive solution for analyzing high-throughput RNA structure probing data.
• The toolkit aids in the deeper comprehension of gene expression regulation through ncRNA structure.
• Facilitates efficient and automated structural inference across entire transcriptomes.