QmRLFS-finder

QmRLFS-finder predicts R-loop forming sequences (RLFSs) in nucleic acid sequences to identify RNA-DNA hybrid structures involved in transcriptional regulation and related biological processes.

Key Features:

• Prediction Accuracy: Utilizes quantitative models derived from experimental data to provide accurate prediction of RLFSs in natural and artificial DNA or RNA sequences.
• Experimental structural basis: Bases predictions on experimentally supported structural models of R-loop formation.
• RLFS coordinates and outputs: Identifies RLFS coordinates and generates standards-compliant output files for downstream annotation and analysis.
• Guanine-rich region detection: Detects RLFSs in guanine-rich regions across genic and inter-genic sequences to support studies of sequence-specific R-loop formation.

Scientific Applications:

• Transcriptional regulation studies: Enables identification of R-loops to investigate their roles in transcriptional regulation and gene expression control.
• Disease mechanism investigation: Facilitates exploration of RLFS-associated mechanisms implicated in various disease states.
• Biotechnology and therapeutic research: Informs sequence-specific interactions in guanine-rich regions that can be leveraged in biotechnology and molecular therapy development.

Methodology:

Operates on a quantitative model of R-loop forming sequences that leverages structural data from experimental studies to predict RNA-DNA hybrid (R-loop) formation.