Computational Epigenomics and Epitranscriptomics

Author:   Pedro H. Oliveira
Publisher:   Springer-Verlag New York Inc.
Edition:   1st ed. 2023
Volume:   2624
ISBN:  

9781071629611


Pages:   262
Publication Date:   02 February 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Computational Epigenomics and Epitranscriptomics


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Author:   Pedro H. Oliveira
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   1st ed. 2023
Volume:   2624
Weight:   0.722kg
ISBN:  

9781071629611


ISBN 10:   1071629611
Pages:   262
Publication Date:   02 February 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. DNA methylation data analysis using Msuite Xiaojian Liu, Pengxiang Yuan, and Kun Sun   2. Interactive DNA methylation arrays analysis with ShinyÉPICo Octavio Morante-Palacios   3. Predicting Chromatin Interactions from DNA Sequence using DeepC Ron Schwessinger   4. Integrating single-cell methylome and transcriptome data with MAPLE Yasin Uzun, Hao Wu, and Kai Tan   5. Quantitative comparison of multiple chromatin immunoprecipitation-sequencing (ChIP-seq) experiments with spikChIP Enrique Blanco, Cecilia Ballaré, Luciano Di Croce, and Sergi Aranda   6. A Guide To MethylationToActivity: A Deep-Learning Framework That Reveals Promoter Activity Landscapes from DNA Methylomes In Individual Tumors Karissa Dieseldorff Jones, Daniel Putnam, Justin Williams, and Xiang Chen   7. DNA modification patterns filtering and analysis using DNAModAnnot Alexis Hardy, Sandra Duharcourt, and Matthieu Defrance   8. Methylome imputation by methylation patterns Ya-Ting Chang, Ming-Ren Yen, and Pao-Yang Chen   9. Sequoia: a framework for visual analysis of RNA modifications from direct RNA sequencing data Ratanond Koonchanok, Swapna Vidhur Daulatabad, Khairi Reda, and Sarath Chandra Janga   10. Predicting pseudouridine sites with Porpoise Xudong Guo, Fuyi Li, and Jiangning Song   11. Pseudouridine Identification and Functional Annotation with PIANO Jiahui Yao, Cuiyueyue Hao, Kunqi Chen, Jia Meng, and Bowen Song   12. Analyzing mRNA epigenetic sequencing data with TRESS Zhenxing Guo, Andrew M. Shafik, Peng Jin, Zhijin Wu, and Hao Wu   13. Nanopore Direct RNA Sequencing Data Processing and Analysis Using MasterOfPores Luca Cozzuto, Anna Delgado-Tejedor, Toni Hermoso Pulido, Eva Maria Novoa, and Julia Ponomarenko   14. Data Analysis Pipeline for Detection and Quantification of Pseudouridine (ψ) in RNA by HydraPsiSeq Florian Pichot, Virginie Marchand, Mark Helm, and Yuri Motorin   15. Analysis of RNA sequences and modifications using NASE Samuel Wein   16. Mapping of RNA modifications by direct Nanopore sequencing and JACUSA2 Amina Lemsara, Christoph Dieterich, and Isabel Naarmann-de Vries

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