RNA Bioinformatics

Ernesto Picardi

ISBN 10: 1071613065 / ISBN 13: 9781071613061

Edité par Springer US, Springer US Apr 2021, 2021

A propos de cet article

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.

N° de réf. du vendeur 9781071613061

Détails bibliographiques

• Titre: RNA Bioinformatics
• Éditeur: Springer US, Springer US Apr 2021
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 1071613065
• ISBN à 13 chiffres: 9781071613061
• Reliure: Buch
• Édition: 2ème Édition
• État de l'article: Neu

A propos de ce titre

Synopsis

1. Advanced Design of Structural RNAs Using RNARedPrint

Yann Ponty, Stefan Hammer, Hua-Ting Yao, and Sebastian Will

2. Modeling and Predicting RNA Three-Dimensional Structures

Vladimir Reinharz, Roman Sarrazin-Gendron, and Jérôme Waldispühl

3. Motif Discovery from CLIP Experiments

Marco Pietrosanto, Gabriele Ausiello, and Manuela Helmer-Citterich

4. Profiling of RNA Structure at Single-Nucleotide Resolution Using nextPARS

Uciel Chorostecki, Jesse R. Willis, Ester Saus, and Toni Gabaldon

5. RNA Framework for Assaying the Structure of RNAs by High-Throughput Sequencing

Tycho Marinus and Danny Incarnato

6. Using RNentropy to Detect Significant Variation in Gene Expression across Multiple RNA-Seq or Single Cell RNA-Seq Samples

Federico Zambelli and Giulio Pavesi

7. Statistical Modeling of High Dimensional Counts

Michael I. Love

8. QuickIsoSeq for Isoform Quantification in Large-Scale RNA Sequencing

Ramya Gamini, Reiko Nakashima, Wen He, Ying Huang, Ying Zhang, and Shanrong Zhao

9. Summarizing RNA-Seq Data or Differentially Expressed Genes Using Gene Set, Network or Pathway Analysis

Enrica Calura and Paolo Martini

10. Computational Analysis of circRNA Expression Data

Giulio Ferrero, Nicola Licheri, Michele De Bortoli, Raffaele A Calogero, Marco Beccuti, and Francesca Cordero

11. Differential Expression Analysis of Long Non-Coding RNAs

Qian Li and Xuefeng Wang

12. Micro-RNA Quantification, Target Gene Identification, and Pathway Analysis

Gabriele Sales and Enrica Calura

13. In Silico Analysis of MicroRNA Sequencing Data

Ernesto Aparicio-Puerta, Bastian Fromm, Michael Hackenberg, and Marc K. Halushka

14. RNA Editing Detection in HPC Infrastructures

Claudio Lo Giudice, Luigi Mansi, Tiziano Flati, Silvia Gioiosa, Giovanni Chillemi, Pietro Libro, Tiziana Castrignanò, Graziano Pesole, and Ernesto Picardi

15. Identification of Genes Post-Transcriptionally Regulated from RNA-Seq: The Case Study of Liver Hepatocellular Carcinoma

Stefano de Pretis, Mattia Furlan, and Mattia Pelizzola

16. Computational Analysis of Single Cell RNA-Seq Data

Luca Alessandrì, Francesca Cordero, Marco Beccuti, Maddalena Arigoni, and Raffaele A. Calogero

17. Normalization of Single-Cell RNA-Seq Data

Davide Risso