title: In Silico Prediction of RNA Secondary Structure.
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.
authors.affiliation: IBISC, UEVE/Genopole, 23 bv. de France, 91000, Evry, France. fariza.tahi@ibisc.univ-evry.fr.|IPS2, University of Paris-Saclay, 91190, Gif-sur-Yvette, France. fariza.tahi@ibisc.univ-evry.fr.
authors.forename: Fariza
authors.initials: F
authors.lastname: Tahi
authors.affiliation: Vital-IT group, SIB Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.
authors.forename: Van
authors.initials: V
authors.lastname: Du T Tran
authors.affiliation: IBISC, UEVE/Genopole, 23 bv. de France, 91000, Evry, France.|College of NTIC, Constantine University 2, Constantine, Algeria.
authors.forename: Anouar
authors.initials: A
authors.lastname: Boucheham
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D006801:Humans; D008958:Models, Molecular; D009690:Nucleic Acid Conformation; D012313:RNA / Q000737:chemistry*
chemical_list: D012313:RNA
keywords: Integrative approach; MicroRNA; Noncoding RNA; Pseudoknots; RNA identification; RNA secondary structure; RNA secondary structure prediction