Transcriptome Data Analysis

Rajeev K. Azad

ISBN 10: 1071638882 / ISBN 13: 9781071638880

Published by Springer, 2025

About this Item

Transcriptome Data Analysis | Rajeev K. Azad | Taschenbuch | xi | Englisch | 2025 | Springer | EAN 9781071638880 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 133832859

Bibliographic Details

• Title: Transcriptome Data Analysis
• Publisher: Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 1071638882
• ISBN 13: 9781071638880
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 23D millimeters 254 millimeters width by 178 millimeters height by 23 millimeters depth
• Weight: 764 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This detailed volume presents a comprehensive exploration of the advances in transcriptomics, with a focus on methods and pipelines for transcriptome data analysis. In addition to well-established RNA sequencing (RNA-Seq) data analysis protocols, the chapters also examine specialized pipelines, such as multi-omics data integration and analysis, gene interaction network construction, single-cell trajectory inference, detection of structural variants, application of machine learning, and more. As part of the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that leads to best results in the lab. 

 

Authoritative and practical, Transcriptome Data Analysis serves as an ideal resource for educators and researchers looking to understand new developments in the field, learn usage of the protocols for transcriptome data analysis, and implement the tools or pipelines to address relevant problemsof their interest.

 

Chapter 4 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.