Literature DB >> 9358168

RAGA: RNA sequence alignment by genetic algorithm.

C Notredame1, E A O'Brien, D G Higgins.   

Abstract

We describe a new approach for accurately aligning two homologous RNA sequences when the secondary structure of one of them is known. To do so we developed two software packages, called RAGA and PRAGA, which use a genetic algorithm approach to optimize the alignments. RAGA is mainly an extension of SAGA, an earlier package for multiple protein sequence alignment. In PRAGA several genetic algorithms run in parallel and exchange individual solutions. This method allows us to optimize an objective function that describes the quality of a RNA pairwise alignment, taking into account both primary and secondary structure, including pseudoknots. We report results obtained using PRAGA on nine test cases of pairs of eukaryotic small subunit rRNA sequence (nuclear and mitochondrial).

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Year:  1997        PMID: 9358168      PMCID: PMC147093          DOI: 10.1093/nar/25.22.4570

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  30 in total

1.  Prediction of RNA secondary structure, including pseudoknotting, by computer simulation.

Authors:  J P Abrahams; M van den Berg; E van Batenburg; C Pleij
Journal:  Nucleic Acids Res       Date:  1990-05-25       Impact factor: 16.971

2.  The computer simulation of RNA folding pathways using a genetic algorithm.

Authors:  A P Gultyaev; F H van Batenburg; C W Pleij
Journal:  J Mol Biol       Date:  1995-06-30       Impact factor: 5.469

3.  Automated alignment of RNA sequences to pseudoknotted structures.

Authors:  J E Tabaska; G D Stormo
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  1997

4.  An annealing mutation operator in the genetic algorithms for RNA folding.

Authors:  B A Shapiro; J C Wu
Journal:  Comput Appl Biosci       Date:  1996-06

5.  Optimal alignments in linear space.

Authors:  E W Myers; W Miller
Journal:  Comput Appl Biosci       Date:  1988-03

6.  Automatic RNA secondary structure determination with stochastic context-free grammars.

Authors:  L Grate
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  1995

7.  Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment.

Authors:  C E Lawrence; S F Altschul; M S Boguski; J S Liu; A F Neuwald; J C Wootton
Journal:  Science       Date:  1993-10-08       Impact factor: 47.728

8.  Description of RNA folding by "simulated annealing".

Authors:  M Schmitz; G Steger
Journal:  J Mol Biol       Date:  1996-01-12       Impact factor: 5.469

9.  The protein threading problem with sequence amino acid interaction preferences is NP-complete.

Authors:  R H Lathrop
Journal:  Protein Eng       Date:  1994-09

10.  An improved algorithm for matching biological sequences.

Authors:  O Gotoh
Journal:  J Mol Biol       Date:  1982-12-15       Impact factor: 5.469

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  13 in total

1.  Prediction of common secondary structures of RNAs: a genetic algorithm approach.

Authors:  J H Chen; S Y Le; J V Maizel
Journal:  Nucleic Acids Res       Date:  2000-02-15       Impact factor: 16.971

2.  Comparative analysis of secondary structure of insect mitochondrial small subunit ribosomal RNA using maximum weighted matching.

Authors:  R D Page
Journal:  Nucleic Acids Res       Date:  2000-10-15       Impact factor: 16.971

3.  Predicted secondary structure for 28S and 18S rRNA from Ichneumonoidea (Insecta: Hymenoptera: Apocrita): impact on sequence alignment and phylogeny estimation.

Authors:  Joseph J Gillespie; Matthew J Yoder; Robert A Wharton
Journal:  J Mol Evol       Date:  2005-07-14       Impact factor: 2.395

4.  Analysis and classification of RNA tertiary structures.

Authors:  Mira Abraham; Oranit Dror; Ruth Nussinov; Haim J Wolfson
Journal:  RNA       Date:  2008-09-29       Impact factor: 4.942

Review 5.  Computational methods in noncoding RNA research.

Authors:  Ariane Machado-Lima; Hernando A del Portillo; Alan Mitchell Durham
Journal:  J Math Biol       Date:  2007-09-04       Impact factor: 2.259

6.  BlastR--fast and accurate database searches for non-coding RNAs.

Authors:  Giovanni Bussotti; Emanuele Raineri; Ionas Erb; Matthias Zytnicki; Andreas Wilm; Emmanuel Beaudoing; Philipp Bucher; Cedric Notredame
Journal:  Nucleic Acids Res       Date:  2011-05-30       Impact factor: 16.971

7.  A method for aligning RNA secondary structures and its application to RNA motif detection.

Authors:  Jianghui Liu; Jason T L Wang; Jun Hu; Bin Tian
Journal:  BMC Bioinformatics       Date:  2005-04-07       Impact factor: 3.169

8.  Phylogenetic analyses: A toolbox expanding towards Bayesian methods.

Authors:  Stéphane Aris-Brosou; Xuhua Xia
Journal:  Int J Plant Genomics       Date:  2008

9.  An efficient genetic algorithm for structural RNA pairwise alignment and its application to non-coding RNA discovery in yeast.

Authors:  Akito Taneda
Journal:  BMC Bioinformatics       Date:  2008-12-05       Impact factor: 3.169

10.  A memory-efficient dynamic programming algorithm for optimal alignment of a sequence to an RNA secondary structure.

Authors:  Sean R Eddy
Journal:  BMC Bioinformatics       Date:  2002-07-02       Impact factor: 3.169

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