Finding Loopholes in the genome: Novel predictive tool to identify sequences susceptible to causing mutations


Scientists from A*STAR’s Bioinformatics Institute (BII) have developed an analytical model and computational tool to rapidly and accurately predict the occurrence and locations of R-loop Forming Sequences (RLFSs) in any genome or artificial nucleic acid sequences. R-loops are cellular structures composed of an RNA/DNA hybrid, which is formed when the RNA hybridises to a complementary DNA strand and a displaced single-stranded DNA.