SwitchFinder is a computational tool designed for the systematic discovery of RNA structural switches within transcriptomes. It operates by analyzing RNA sequences to predict potential RNA switches and their two mutually exclusive folding conformations. Utilizing a biophysical approach based on a Boltzmann equilibrium probability distribution, SwitchFinder identifies RNA switches in a family-agnostic manner, prioritizing sequences with features indicative of RNA switches.
Click here to access SwitchFinderIdentifies RNA switches without relying on known families, ensuring broad applicability across different organisms and contexts.
Enhances predictive accuracy by incorporating in vivo RNA secondary structure probing data, creating an iterative cycle of computational prediction and experimental validation.