DStruct

Identifying differentially reactive regions from RNA structurome profiling data 06 Biological Sciences 0604 Genetics

Krishna Choudhary, Yu Hsuan Lai, Elizabeth J. Tran, Sharon Aviran

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish (US)
Article number40
JournalGenome Biology
Volume20
Issue number1
DOIs
StatePublished - Feb 21 2019

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Biological Science Disciplines
RNA
Technology
Biological Sciences
Gene Expression Profiling
Molecular Structure
transcriptome
methodology
simulation
method
science
sampling

Keywords

  • Differential analysis
  • DMS
  • PARS
  • RNA structure
  • SHAPE
  • Structure probing
  • Transcriptome-wide profiling

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

Cite this

DStruct : Identifying differentially reactive regions from RNA structurome profiling data 06 Biological Sciences 0604 Genetics. / Choudhary, Krishna; Lai, Yu Hsuan; Tran, Elizabeth J.; Aviran, Sharon.

In: Genome Biology, Vol. 20, No. 1, 40, 21.02.2019.

Research output: Contribution to journalArticle

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