In Silico Prediction of RNA Secondary Structure.

Fariza Tahi, Van Du T Tran, Anouar Boucheham
Author Information
  1. Fariza Tahi: IBISC, UEVE/Genopole, 23 bv. de France, 91000, Evry, France. fariza.tahi@ibisc.univ-evry.fr.
  2. Van Du T Tran: Vital-IT group, SIB Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.
  3. Anouar Boucheham: IBISC, UEVE/Genopole, 23 bv. de France, 91000, Evry, France.

Abstract

The secondary structure of an RNA molecule represents the base-pairing interactions within the molecule and fundamentally determines its overall structure. In this chapter, we overview the main approaches and existing tools for predicting RNA secondary structures, as well as methods for identifying noncoding RNAs from genomic sequences or RNA sequencing data. We then focus on the identification of a well-known class of small noncoding RNAs, namely microRNAs, which play very important roles in many biological processes through regulating post-transcriptionally the expression of genes and which dysregulation has been shown to be involved in several human diseases.

Keywords

MeSH Term

Animals
Computational Biology
Computer Simulation
Humans
Models, Molecular
Nucleic Acid Conformation
RNA

Chemicals

RNA

Word Cloud

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