Overview
- Focuses on modern computational and statistical tools
- Introduces state of the art technologies for translational bioinformatics
- Provides applications of technology
- Includes supplementary material: sn.pub/extras
Part of the book series: Translational Bioinformatics (TRBIO, volume 9)
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About this book
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.​
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Keywords
Table of contents (7 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Transcriptomics and Gene Regulation
Editors: Jiaqian Wu
Series Title: Translational Bioinformatics
DOI: https://doi.org/10.1007/978-94-017-7450-5
Publisher: Springer Dordrecht
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2016
Hardcover ISBN: 978-94-017-7448-2Published: 28 October 2015
Softcover ISBN: 978-94-024-0434-0Published: 23 August 2016
eBook ISBN: 978-94-017-7450-5Published: 17 November 2015
Series ISSN: 2213-2775
Series E-ISSN: 2213-2783
Edition Number: 1
Number of Pages: X, 185
Number of Illustrations: 62 b/w illustrations, 2 illustrations in colour
Topics: Bioinformatics, Gene Expression, Neurosciences