RNA Bioinformatics

Ernesto Picardi

ISBN 10: 107161309X / ISBN 13: 9781071613092

Editore: Springer US, Springer US Apr 2022, 2022

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Neuware -This detailed book aims to provide an overview of novel bioinformatics resources for exploring diverse aspects of RNA biology. This edition focuses on methods dealing with non-coding RNA (miRNAs, circRNAs or lncRNAs), RNA modifications (m6A or RNA editing), single cell RNA-seq and statistical models to handle count data from RNA-seq experiments. The book also includes chapters based on the classical RNA bioinformatics methods, such as those for deciphering secondary and tertiary RNA structures; however, they are revised to take into account deep sequencing data. Finally, chapters describing methods to analyze RNA sequencing data from emerging third generation sequencing technologies that could provide interesting insights into the transcriptional process and its regulation are also included.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 600 pp. Englisch.

Codice articolo 9781071613092

Dati bibliografici

• Titolo: RNA Bioinformatics
• Editore: Springer US, Springer US Apr 2022
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 107161309X
• ISBN 13: 9781071613092
• Rilegatura: Taschenbuch
• Edizione: seconda edizione
• Condizione: Neu
• Dimensioni: 254 L x 178 A x 33 P (millimetri) 254 millimetri di larghezza per 178 millimetri di altezza per 33 millimetri di profondità
• Peso: 1112 grammi

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Riassunto

This detailed book aims to provide an overview of novel bioinformatics resources for exploring diverse aspects of RNA biology. This edition focuses on methods dealing with non-coding RNA (miRNAs, circRNAs or lncRNAs), RNA modifications (m6A or RNA editing), single cell RNA-seq and statistical models to handle count data from RNA-seq experiments. The book also includes chapters based on the classical RNA bioinformatics methods, such as those for deciphering secondary and tertiary RNA structures; however, they are revised to take into account deep sequencing data. Finally, chapters describing methods to analyze RNA sequencing data from emerging third generation sequencing technologies that could provide interesting insights into the transcriptional process and its regulation are also included. 
Written for the highly successful Methods in Molecular Biology series, chapters include the kind of expert implementation advice that encourages quality results. Comprehensive and up-to-date, RNA Bioinformatics, Second Edition serves as an ideal guide for researchers digging ever-deeper into the depths of the study of RNAs.
The chapter 'RNA-Seq Data Analysis in Galaxy' is open access under a CC BY 4.0 license.