Title: Transcriptome Data Analysis
Publisher: Springer US
Publication Date: 2024
Language: English
ISBN 10: 1071638858
ISBN 13: 9781071638859
Binding: Buch
Condition: Neu
Dimensions: 260 millimeters width by 183 millimeters height by 28 millimeters depth
Weight: 961 grams

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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.

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

"About this title" may belong to another edition of this title.

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