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Transcriptomics and Gene Regulation

  • Jiaqian Wu
Book

Part of the Translational Bioinformatics book series (TRBIO, volume 9)

Table of contents

  1. Front Matter
    Pages i-x
  2. Raquel Cuevas Diaz Duran, Sudheer Menon, Jiaqian Wu
    Pages 1-35
  3. Yun-Hua Esther Hsiao, Ashley A. Cass, Jae Hoon Bahn, Xianzhi Lin, Xinshu Xiao
    Pages 37-71
  4. Jeffrey T. Chang
    Pages 99-113
  5. Quanwei Zhang, Wen Zhang, Rubén Nogales-Cadenas, Jhin-Rong Lin, Ying Cai, Zhengdong D. Zhang
    Pages 115-140

About this book

Introduction

This volume focuses on modern computational and statistical tools for translational gene expression and regulation research to improve prognosis, diagnostics, prediction of severity, and therapies for human diseases. It introduces some of state of the art technologies as well as computational and statistical tools for translational bioinformatics in the areas of gene transcription and regulation, including the tools for next generation sequencing analyses, alternative spicing, the modeling of signaling pathways, network analyses in predicting disease genes, as well as protein and gene expression data integration in complex human diseases etc. The book is particularly useful for researchers and students in the field of molecular biology, clinical biology and bioinformatics, as well as physicians etc. Dr. Jiaqian Wu is assistant professor in the Vivian L. Smith Department of Neurosurgery and Center for Stem Cell and Regenerative Medicine, University of Texas Health Science Centre, Houston, TX, USA.​

Keywords

alternative splicing bioinformatic methods gene expression gene regulation gene transcription systematic and integrative analysis

Editors and affiliations

  • Jiaqian Wu
    • 1
  1. 1.Center for Stem Cell and RegeneratiThe Vivian L. Smith Department of NHOUSTONUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-7450-5
  • Copyright Information Springer Science+Business Media Dordrecht 2016
  • Publisher Name Springer, Dordrecht
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-94-017-7448-2
  • Online ISBN 978-94-017-7450-5
  • Series Print ISSN 2213-2775
  • Series Online ISSN 2213-2783
  • Buy this book on publisher's site
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Pharma
Biotechnology