1. dStruct: identifying differentially reactive regions from RNA structurome profiling data
- Author
-
Choudhary, Krishna, Lai, Yu-Hsuan, Tran, Elizabeth J, and Aviran, Sharon
- Subjects
Biotechnology ,Genetics ,Human Genome ,Generic health relevance ,Genomics ,Molecular Structure ,Polymorphism ,Single Nucleotide ,RNA ,Software ,Transcriptome ,RNA structure ,Structure probing ,Differential analysis ,Transcriptome-wide profiling ,SHAPE ,DMS ,PARS ,Environmental Sciences ,Biological Sciences ,Information and Computing Sciences ,Bioinformatics - Abstract
RNA biology is revolutionized by recent developments of diverse high-throughput technologies for transcriptome-wide profiling of molecular RNA structures. RNA structurome profiling data can be used to identify differentially structured regions between groups of samples. Existing methods are limited in scope to specific technologies and/or do not account for biological variation. Here, we present dStruct which is the first broadly applicable method for differential analysis accounting for biological variation in structurome profiling data. dStruct is compatible with diverse profiling technologies, is validated with experimental data and simulations, and outperforms existing methods.
- Published
- 2019