Open access peer-reviewed Edited Volume

Transcriptome Analysis

Edited by Miroslav Blumenberg

New York University Langone Medical Center

Transcriptome analysis is the study of the transcriptome, of the complete set of RNA transcripts that are produced under specific circumstances, using high-throughput methods. Transcription profiling, which follows total changes in the behavior of a cell, is used throughout diverse areas of biomedical research, including diagnosis of disease, biomarker discovery, risk assessment of new drugs or environmental chemicals, etc. Transcriptome analysis is most commonly used to compare specific pairs of samples, for example, tumor tissue versus its healthy counterpart. In this volume, Dr. Pyo Hong discusses the role of long RNA sequences in transcriptome analysis, Dr. Shinichi describes the next-generation single-cell sequencing technology developed by his team, Dr. Prasanta presents transcriptome analysis applied to rice under various environmental factors, Dr. Xiangyuan addresses the reproductive systems of flowering plants and Dr. Sadovsky compares codon usage in conifers.

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IntechOpen
Transcriptome AnalysisEdited by Miroslav Blumenberg

Published: November 20th 2019

DOI: 10.5772/intechopen.77860

ISBN: 978-1-78984-328-6

Print ISBN: 978-1-78984-327-9

eBook (PDF) ISBN: 978-1-78985-263-9

Copyright year: 2019

Books open for chapter submissions

2273 Total Chapter Downloads

2 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Introductory Chapter: Transcriptome Analysis

By Miroslav Blumenberg

790

Open access peer-reviewed

2. Single-Cell Transcriptome Analysis in Tumor Tissues

By Sadahiro Iwabuchi and Shinichi Hashimoto

379

Open access peer-reviewed

3. Transcriptome Atlas by Long-Read RNA Sequencing: Contribution to a Reference Transcriptome

By Dong Jin Lee and Chang Pyo Hong

321

Open access peer-reviewed

4. Plant Comparative Transcriptomics Reveals Functional Mechanisms and Gene Regulatory Networks Involved in Anther Development and Male Sterility

By Xiangyuan Wan and Ziwen Li

253

Open access peer-reviewed

5. Transcriptome Analysis for Abiotic Stresses in Rice (Oryza sativa L.)

By Ashutosh Kumar and Prasanta K. Dash

424

Open access peer-reviewed

6. Revealing the Symmetry of Conifer Transcriptomes through Triplet Statistics

By Sadovsky Michael, Putintseva Yulia, Biryukov Vladislav and Senashova Maria

114

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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