Amazon cover image
Image from Amazon.com
Image from Google Jackets
Image from OpenLibrary

RNA Bioinformatics

By: Contributor(s): Material type: TextTextSeries: Methods in molecular biology, v. 1269.; Springer protocols (Series)Publication details: Human Press 2015Description: xii, 415 pages : illustrations (some color) ; 27 cmISBN:
  • 9781493922901
Subject(s): DDC classification:
  • 572.88 PIC-R
Contents:
Free energy minimization to predict RNA secondary structures and computational RNA design / Alexander Churkin, Lina Weinbrand, and Danny Barash -- RNA secondary structure prediction from multi-aligned sequences / Michiaki Hamada -- Simple protocol for the inference of RNA global pairwise alignments / Eugenio Mattei, Manuela Helmer-Citterich, and Fabrizio Ferrè -- De novo secondary structure motif discovery using RNA profile / Federico Zambelli and Giulio Pavesi -- Drawing and editing the secondary structure(s) of RNA / Yann Ponty and Fabrice Leclerc -- Modeling and predicting RNA three-dimensional structures / Jérôme Waldispühl and Vladimir Reinharz -- Fast prediction of RNA-RNA interaction using heuristic algorithm / Soheila Montaseri -- Quality control of RNA-Seq experiments / Xing Li ... [and 3 others] -- Accurate mapping of RNA-Seq data / Kin Fai Au -- Quantifying entire transcriptomes by aligned RNA-Seq data / Raffaele A. Calogero and Francesca Zolezzi -- Transcriptome assembly and alternative splicing analysis / Paola Bonizzoni ... [and 5 others] -- Detection of post-transcriptional RNA editing events / Ernesto Picardi ... [and 3 others] -- Prediction of miRNA targets / Anastasis Oulas ... [and 6 others] -- Using deep sequencing data for identification of editing sites in mature miRNAs / Shahar Alon and Eli Eisenberg -- NGS-trex : an automatic analysis workflow for RNA-seq data / Ilenia Boria ... [and 3 others] -- e-DNA meta-barcoding : from NGS raw data to taxonomic profiling / Fosso Bruno, Marzano Marinella, and Monica Santamaria -- Deciphering metatranscriptomic data / Evguenia Kopylova ... [and 6 others] -- RIP-seq data analysis to determine RNA-protein associations / Federico Zambelli and Giulio Pavesi -- ViennaRNA eeb services / Andreas R. Gruber, Stephan H. Bernhart, and Ronny Lorenz -- Exploring the RNA editing potential of RNA-Seq data by ExpEdit / Mattia D'Antonio ... [and 4 others] -- Guideline for the annotation of UTR regulatory elements in the UTRsite collection / Matteo Giulietti ... [and 3 others] -- Rfam : annotating families of non-coding RNA sequences / Jennifer Daub ... [and 3 others] -- ASPicDB : a database web tool for alternative splicing analysis / Mattia D'Antonio ... [and 5 others] -- Analysis of alternative splicing events in custom gene datasets by AStalavista / Sylvain Foissac and Michael Sammeth -- Computational design of artificial RNA molecules for gene regulation / Alessandro Laganà ... [and 6 others].
Summary: This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary structures, and novel algorithms based on massive RNA sequencing.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.88 PIC-R (Browse shelf(Opens below)) Checked out to Seba (COB230503N) 26/07/2024 DCB2813

Free energy minimization to predict RNA secondary structures and computational RNA design / Alexander Churkin, Lina Weinbrand, and Danny Barash -- RNA secondary structure prediction from multi-aligned sequences / Michiaki Hamada -- Simple protocol for the inference of RNA global pairwise alignments / Eugenio Mattei, Manuela Helmer-Citterich, and Fabrizio Ferrè -- De novo secondary structure motif discovery using RNA profile / Federico Zambelli and Giulio Pavesi -- Drawing and editing the secondary structure(s) of RNA / Yann Ponty and Fabrice Leclerc -- Modeling and predicting RNA three-dimensional structures / Jérôme Waldispühl and Vladimir Reinharz -- Fast prediction of RNA-RNA interaction using heuristic algorithm / Soheila Montaseri -- Quality control of RNA-Seq experiments / Xing Li ... [and 3 others] -- Accurate mapping of RNA-Seq data / Kin Fai Au -- Quantifying entire transcriptomes by aligned RNA-Seq data / Raffaele A. Calogero and Francesca Zolezzi -- Transcriptome assembly and alternative splicing analysis / Paola Bonizzoni ... [and 5 others] -- Detection of post-transcriptional RNA editing events / Ernesto Picardi ... [and 3 others] -- Prediction of miRNA targets / Anastasis Oulas ... [and 6 others] -- Using deep sequencing data for identification of editing sites in mature miRNAs / Shahar Alon and Eli Eisenberg -- NGS-trex : an automatic analysis workflow for RNA-seq data / Ilenia Boria ... [and 3 others] -- e-DNA meta-barcoding : from NGS raw data to taxonomic profiling / Fosso Bruno, Marzano Marinella, and Monica Santamaria -- Deciphering metatranscriptomic data / Evguenia Kopylova ... [and 6 others] -- RIP-seq data analysis to determine RNA-protein associations / Federico Zambelli and Giulio Pavesi -- ViennaRNA eeb services / Andreas R. Gruber, Stephan H. Bernhart, and Ronny Lorenz -- Exploring the RNA editing potential of RNA-Seq data by ExpEdit / Mattia D'Antonio ... [and 4 others] -- Guideline for the annotation of UTR regulatory elements in the UTRsite collection / Matteo Giulietti ... [and 3 others] -- Rfam : annotating families of non-coding RNA sequences / Jennifer Daub ... [and 3 others] -- ASPicDB : a database web tool for alternative splicing analysis / Mattia D'Antonio ... [and 5 others] -- Analysis of alternative splicing events in custom gene datasets by AStalavista / Sylvain Foissac and Michael Sammeth -- Computational design of artificial RNA molecules for gene regulation / Alessandro Laganà ... [and 6 others].

This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary structures, and novel algorithms based on massive RNA sequencing.

There are no comments on this title.

to post a comment.