書誌事項

RNA bioinformatics

edited by Ernesto Picardi

(Methods in molecular biology / John M. Walker, series editor, 2284)(Springer protocols)

Humana Press, c2021

2nd ed

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

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 Jerome Waldispuhl 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 Castrignano, 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 Alessandri, Francesca Cordero, Marco Beccuti, Maddalena Arigoni, and Raffaele A. Calogero 17. Normalization of Single-Cell RNA-Seq Data Davide Risso 18. Dimensionality Reduction of Single-Cell RNA-Seq Data George C. Linderman 19. Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview Shaked Slovin, Annamaria Carissimo, Francesco Panariello, Antonio Grimaldi, Valentina Bouche, Gennaro Gambardella, and Davide Cacchiarelli 20. RNA-Seq Data Analysis in Galaxy Berenice Batut, Marius van den Beek, Maria A. Doyle, and Nicola Soranzo 21. RAP: A Web Tool for RNA-Seq Data Analysis Mattia D'Antonio, Pietro Libro, Ernesto Picardi, Graziano Pesole, and Tiziana Castrignano 22. iDEP Web Application for RNA-Seq Data Analysis Xijin Ge 23. Exploring Non-Invasive Biomarkers with the miRandola Database: A Tool for Translational Medicine Francesco Russo 24. Database Resources for Functional Circular RNAs Dahui Hu, Peijing Zhang, and Ming Chen 25. Databases for RNA Editing Collections Claudio Lo Giudice, Luigi Mansi, Graziano Pesole, and Ernesto Picardi 26. MODOMICS: An Operational Guide to the Use of the RNA Modification Pathways Database Pietro Boccaletto and Blazej Baginski 27. MeT-DB V2.0: Elucidating Context-Specific Functions of N6-Methyl-Adenosine Methyltranscriptome Hui Liu, Jiani Ma, Jia Meng, and Lin Zhang 28. WHISTLE: A Functionally Annotated High-Accuracy Map of Human m6A Epitranscriptome Qingru Xu, Kunqi Chen, and Jia Meng 29. Transcript Identification through Long-Read Sequencing Masahide Seki, Miho Oka, Liu Xu, Ayako Suzuki, and Yutaka Suzuki 30. Transcript Isoform-Specific Estimation of Poly(A) Tail Length by Nanopore Sequencing of Native RNA Adnan M. Niazi, Maximillian Krause, and Eivind Valen 31. Nanopore RNA Sequencing Analysis Tommaso Leonardi and Adrien Leger

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