Literature DB >> 33835436

Motif Discovery from CLIP Experiments.

Marco Pietrosanto1, Gabriele Ausiello1, Manuela Helmer-Citterich2.   

Abstract

RNA primary and secondary motif discovery is an important step in the annotation and characterization of unknown interaction dynamics between RNAs and RNA-Binding Proteins, and several methods have been developed to meet the need of fast and efficient discovery of interaction motifs. Recent advances have increased the amount of data produced by experimental assays and there is no available method suitable for the analysis of all type of results. Here we present a simple workflow to help choosing the more appropriate method, depending on the starting situation, among the three algorithms that best cover the landscape of approaches. A detailed analysis is presented to highlight the need for different algorithms in different working settings. In conclusion, the proposed workflow depends on the nature of the starting data and on the availability of RNA annotations.

Keywords:  CLIP-Seq; High-throughput assay; Motif discovery; RNA; RNA secondary structure

Year:  2021        PMID: 33835436     DOI: 10.1007/978-1-0716-1307-8_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  12 in total

1.  A novel approach to represent and compare RNA secondary structures.

Authors:  Eugenio Mattei; Gabriele Ausiello; Fabrizio Ferrè; Manuela Helmer-Citterich
Journal:  Nucleic Acids Res       Date:  2014-04-21       Impact factor: 16.971

2.  A combined sequence and structure based method for discovering enriched motifs in RNA from in vivo binding data.

Authors:  Maya Polishchuk; Inbal Paz; Refael Kohen; Rona Mesika; Zohar Yakhini; Yael Mandel-Gutfreund
Journal:  Methods       Date:  2017-03-06       Impact factor: 3.608

3.  RNAcompete-S: Combined RNA sequence/structure preferences for RNA binding proteins derived from a single-step in vitro selection.

Authors:  Kate B Cook; Shankar Vembu; Kevin C H Ha; Hong Zheng; Kaitlin U Laverty; Timothy R Hughes; Debashish Ray; Quaid D Morris
Journal:  Methods       Date:  2017-06-24       Impact factor: 3.608

Review 4.  Motif models for RNA-binding proteins.

Authors:  Alexander Sasse; Kaitlin U Laverty; Timothy R Hughes; Quaid D Morris
Journal:  Curr Opin Struct Biol       Date:  2018-08-29       Impact factor: 6.809

5.  A novel method for the identification of conserved structural patterns in RNA: From small scale to high-throughput applications.

Authors:  Marco Pietrosanto; Eugenio Mattei; Manuela Helmer-Citterich; Fabrizio Ferrè
Journal:  Nucleic Acids Res       Date:  2016-08-31       Impact factor: 16.971

6.  Discovering sequence and structure landscapes in RNA interaction motifs.

Authors:  Marta Adinolfi; Marco Pietrosanto; Luca Parca; Gabriele Ausiello; Fabrizio Ferrè; Manuela Helmer-Citterich
Journal:  Nucleic Acids Res       Date:  2019-06-04       Impact factor: 16.971

7.  ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data.

Authors:  David Heller; Ralf Krestel; Uwe Ohler; Martin Vingron; Annalisa Marsico
Journal:  Nucleic Acids Res       Date:  2017-11-02       Impact factor: 16.971

8.  Using RNA secondary structures to guide sequence motif finding towards single-stranded regions.

Authors:  Michael Hiller; Rainer Pudimat; Anke Busch; Rolf Backofen
Journal:  Nucleic Acids Res       Date:  2006-09-20       Impact factor: 16.971

9.  The Vienna RNA websuite.

Authors:  Andreas R Gruber; Ronny Lorenz; Stephan H Bernhart; Richard Neuböck; Ivo L Hofacker
Journal:  Nucleic Acids Res       Date:  2008-04-19       Impact factor: 16.971

10.  GraphProt: modeling binding preferences of RNA-binding proteins.

Authors:  Daniel Maticzka; Sita J Lange; Fabrizio Costa; Rolf Backofen
Journal:  Genome Biol       Date:  2014-01-22       Impact factor: 13.583

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  1 in total

1.  Positional motif analysis reveals the extent of specificity of protein-RNA interactions observed by CLIP.

Authors:  Klara Kuret; Aram Gustav Amalietti; D Marc Jones; Charlotte Capitanchik; Jernej Ule
Journal:  Genome Biol       Date:  2022-09-09       Impact factor: 17.906

  1 in total

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