عنوان

Computational epigenomics and epitranscriptomics

9781071629628

9781071629611

E4207

انگلیسی

Computational epigenomics and epitranscriptomics

[Electronic book]

/ edited by Pedro H. Oliveira.

New York, NY.

: Humana Press

2023.

xi, 262 p.

: ill. (chiefly color)

(Methods in molecular biology

; 2624)

Includes index.

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

0

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

Epigenetics -- Data processing -- Laboratory manuals.

Transcription factors -- Data processing -- Laboratory manuals.

Computational biology -- Laboratory manuals.

Oliveira, Pedro H., editor.

Iran

University of Tehran. Library of College of Science

UT_SCI_BL_DB_1004588_0001.pdf

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BL

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