Literature DB >> 16530285

Beyond Mfold: recent advances in RNA bioinformatics.

Jens Reeder1, Matthias Höchsmann, Marc Rehmsmeier, Björn Voss, Robert Giegerich.   

Abstract

Computational analysis of RNA secondary structure is a classical field of biosequence analysis, which has recently gained momentum due to the manyfold regulatory functions of RNA that have become apparent. We present five recent computational approaches that address the problems of synoptic folding space analysis, pseudoknot prediction, structure alignment, comparative structure prediction, and miRNA target prediction. All these programs are in current use and are available via the Bielefeld Bioinformatics Server at .

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Year:  2006        PMID: 16530285      PMCID: PMC7125698          DOI: 10.1016/j.jbiotec.2006.01.034

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  27 in total

1.  Dynalign: an algorithm for finding the secondary structure common to two RNA sequences.

Authors:  David H Mathews; Douglas H Turner
Journal:  J Mol Biol       Date:  2002-03-22       Impact factor: 5.469

2.  Expanded sequence dependence of thermodynamic parameters improves prediction of RNA secondary structure.

Authors:  D H Mathews; J Sabina; M Zuker; D H Turner
Journal:  J Mol Biol       Date:  1999-05-21       Impact factor: 5.469

3.  Identifying constraints on the higher-order structure of RNA: continued development and application of comparative sequence analysis methods.

Authors:  R R Gutell; A Power; G Z Hertz; E J Putz; G D Stormo
Journal:  Nucleic Acids Res       Date:  1992-11-11       Impact factor: 16.971

4.  Fast and effective prediction of microRNA/target duplexes.

Authors:  Marc Rehmsmeier; Peter Steffen; Matthias Hochsmann; Robert Giegerich
Journal:  RNA       Date:  2004-10       Impact factor: 4.942

5.  Abstract shapes of RNA.

Authors:  Robert Giegerich; Björn Voss; Marc Rehmsmeier
Journal:  Nucleic Acids Res       Date:  2004-09-15       Impact factor: 16.971

6.  An RNA folding method capable of identifying pseudoknots and base triples.

Authors:  J E Tabaska; R B Cary; H N Gabow; G D Stormo
Journal:  Bioinformatics       Date:  1998       Impact factor: 6.937

7.  On the complexity of multiple sequence alignment.

Authors:  L Wang; T Jiang
Journal:  J Comput Biol       Date:  1994       Impact factor: 1.479

8.  Finding the most significant common sequence and structure motifs in a set of RNA sequences.

Authors:  J Gorodkin; L J Heyer; G D Stormo
Journal:  Nucleic Acids Res       Date:  1997-09-15       Impact factor: 16.971

9.  Secondary structure prediction of interacting RNA molecules.

Authors:  Mirela Andronescu; Zhi Chuan Zhang; Anne Condon
Journal:  J Mol Biol       Date:  2004-12-16       Impact factor: 5.469

10.  A comprehensive comparison of comparative RNA structure prediction approaches.

Authors:  Paul P Gardner; Robert Giegerich
Journal:  BMC Bioinformatics       Date:  2004-09-30       Impact factor: 3.169

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  32 in total

1.  Heuristic RNA pseudoknot prediction including intramolecular kissing hairpins.

Authors:  Jana Sperschneider; Amitava Datta; Michael J Wise
Journal:  RNA       Date:  2010-11-22       Impact factor: 4.942

Review 2.  Informatics challenges in structured RNA.

Authors:  Alain Laederach
Journal:  Brief Bioinform       Date:  2007-07-04       Impact factor: 11.622

3.  Predicting structures and stabilities for H-type pseudoknots with interhelix loops.

Authors:  Song Cao; Shi-Jie Chen
Journal:  RNA       Date:  2009-02-23       Impact factor: 4.942

4.  Deciphering the rules by which 5'-UTR sequences affect protein expression in yeast.

Authors:  Shlomi Dvir; Lars Velten; Eilon Sharon; Danny Zeevi; Lucas B Carey; Adina Weinberger; Eran Segal
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-05       Impact factor: 11.205

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.  Fully differentiable coarse-grained and all-atom knowledge-based potentials for RNA structure evaluation.

Authors:  Julie Bernauer; Xuhui Huang; Adelene Y L Sim; Michael Levitt
Journal:  RNA       Date:  2011-04-26       Impact factor: 4.942

7.  Using the RNAstructure Software Package to Predict Conserved RNA Structures.

Authors:  David H Mathews
Journal:  Curr Protoc Bioinformatics       Date:  2014-06-17

8.  Structural characterization of the internal transcribed spacer 2 (ITS2) of the ribosomal DNA (rDNA) cluster in Calyptratae (Diptera: Schizophora) and its implications for molecular phylogenetic analyses.

Authors:  M A T Marinho; A M L Azeredo-Espin; N I T Zanchin
Journal:  J Mol Evol       Date:  2013-02-19       Impact factor: 2.395

9.  Disease-associated mutations that alter the RNA structural ensemble.

Authors:  Matthew Halvorsen; Joshua S Martin; Sam Broadaway; Alain Laederach
Journal:  PLoS Genet       Date:  2010-08-19       Impact factor: 5.917

10.  RNA structure prediction from evolutionary patterns of nucleotide composition.

Authors:  S Smit; R Knight; J Heringa
Journal:  Nucleic Acids Res       Date:  2009-01-07       Impact factor: 16.971

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