Literature DB >> 33654736

Structural Alignment and Covariation Analysis of RNA Sequences.

Nicolas J Tourasse1, Fabien Darfeuille1.   

Abstract

RNA molecules adopt defined structural conformations that are essential to exert their function. During the course of evolution, the structure of a given RNA can be maintained via compensatory base-pair changes that occur among covarying nucleotides in paired regions. Therefore, for comparative, structural, and evolutionary studies of RNA molecules, numerous computational tools have been developed to incorporate structural information into sequence alignments and a number of tools have been developed to study covariation. The bioinformatic protocol presented here explains how to use some of these tools to generate a secondary-structure-aware multiple alignment of RNA sequences and to annotate the alignment to examine the conservation and covariation of structural elements among the sequences.
Copyright © 2020 The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  Alignment; Comparative analysis; Covariation; RNA; Sequence; Structure

Year:  2020        PMID: 33654736      PMCID: PMC7842705          DOI: 10.21769/BioProtoc.3511

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  29 in total

1.  ProbCons: Probabilistic consistency-based multiple sequence alignment.

Authors:  Chuong B Do; Mahathi S P Mahabhashyam; Michael Brudno; Serafim Batzoglou
Journal:  Genome Res       Date:  2005-02       Impact factor: 9.043

2.  CMfinder--a covariance model based RNA motif finding algorithm.

Authors:  Zizhen Yao; Zasha Weinberg; Walter L Ruzzo
Journal:  Bioinformatics       Date:  2005-12-15       Impact factor: 6.937

3.  A statistical test for conserved RNA structure shows lack of evidence for structure in lncRNAs.

Authors:  Elena Rivas; Jody Clements; Sean R Eddy
Journal:  Nat Methods       Date:  2016-11-07       Impact factor: 28.547

4.  R-CHIE: a web server and R package for visualizing RNA secondary structures.

Authors:  Daniel Lai; Jeff R Proctor; Jing Yun A Zhu; Irmtraud M Meyer
Journal:  Nucleic Acids Res       Date:  2012-03-19       Impact factor: 16.971

5.  Inferring noncoding RNA families and classes by means of genome-scale structure-based clustering.

Authors:  Sebastian Will; Kristin Reiche; Ivo L Hofacker; Peter F Stadler; Rolf Backofen
Journal:  PLoS Comput Biol       Date:  2007-02-22       Impact factor: 4.475

6.  The RNA shapes studio.

Authors:  Stefan Janssen; Robert Giegerich
Journal:  Bioinformatics       Date:  2014-10-01       Impact factor: 6.937

7.  Foldalign 2.5: multithreaded implementation for pairwise structural RNA alignment.

Authors:  Daniel Sundfeld; Jakob H Havgaard; Alba C M A de Melo; Jan Gorodkin
Journal:  Bioinformatics       Date:  2015-12-24       Impact factor: 6.937

8.  RNAalifold: improved consensus structure prediction for RNA alignments.

Authors:  Stephan H Bernhart; Ivo L Hofacker; Sebastian Will; Andreas R Gruber; Peter F Stadler
Journal:  BMC Bioinformatics       Date:  2008-11-11       Impact factor: 3.169

9.  Improved accuracy of multiple ncRNA alignment by incorporating structural information into a MAFFT-based framework.

Authors:  Kazutaka Katoh; Hiroyuki Toh
Journal:  BMC Bioinformatics       Date:  2008-04-25       Impact factor: 3.169

10.  ConStruct: Improved construction of RNA consensus structures.

Authors:  Andreas Wilm; Kornelia Linnenbrink; Gerhard Steger
Journal:  BMC Bioinformatics       Date:  2008-04-28       Impact factor: 3.169

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  1 in total

1.  T1TAdb: the database of type I toxin-antitoxin systems.

Authors:  Nicolas J Tourasse; Fabien Darfeuille
Journal:  RNA       Date:  2021-09-16       Impact factor: 4.942

  1 in total

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