Computational Epigenomics and Epitranscriptomics

Specificaties
Gebonden, blz. | Engels
Springer US | e druk, 2023
ISBN13: 9781071629611
Rubricering
Springer US e druk, 2023 9781071629611
Onderdeel van serie Methods in Molecular Biology
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This volume details state-of-the-art computational methods designed to manage, analyze, and generally leverage epigenomic and epitranscriptomic data. Chapters guide readers through fine-mapping and quantification of modifications, visual analytics, imputation methods, supervised analysis, and integrative approaches for single-cell data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

 

Cutting-edge and thorough, Computational Epigenomics and Epitranscriptomics aims to provide an overview of epiomic protocols, making it easier for researchers to extract impactful biological insight from their data.

Specificaties

ISBN13:9781071629611
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer US

Inhoudsopgave

DNA methylation data analysis using Msuite.- Interactive DNA methylation arrays analysis with ShinyÉPICo.- Predicting Chromatin Interactions from DNA Sequence using DeepC.-&nbsp;Integrating single-cell methylome and transcriptome data with MAPLE.-&nbsp;Quantitative comparison of multiple chromatin immunoprecipitation-sequencing (ChIP-seq) experiments with spikChIP.-&nbsp;A Guide To MethylationToActivity: A Deep-Learning Framework That Reveals Promoter Activity Landscapes from DNA Methylomes In Individual Tumors.-&nbsp;DNA modification patterns filtering and analysis using DNAModAnnot.- Methylome imputation by methylation patterns.-&nbsp;Sequoia: a framework for visual analysis of RNA modifications from direct RNA sequencing data.-&nbsp;Predicting pseudouridine sites with Porpoise.- Pseudouridine Identification and Functional Annotation with PIANO.-&nbsp;Analyzing mRNA epigenetic sequencing data with TRESS.- Nanopore Direct RNA Sequencing Data Processing and Analysis Using MasterOfPores.-&nbsp;Data Analysis Pipeline for Detection and Quantification of Pseudouridine (ψ) in RNA by HydraPsiSeq.-&nbsp;Analysis of RNA sequences and modifications using NASE.-&nbsp;Mapping of RNA modifications by direct Nanopore sequencing and JACUSA2.<br> <br>

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