Transcriptomics and gene regulation [electronic resource] / Jiaqian Wu, Editor ; Honor editor, Dong Kim.
Wu, Jiaqian, editor.
2016
QH450
Available Online

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Title Transcriptomics and gene regulation [electronic resource] / Jiaqian Wu, Editor ; Honor editor, Dong Kim.
ISBN 9789401774505 (electronic book)
9401774501 (electronic book)
9789401774482
940177448X
DOI https://doi.org/10.1007/978-94-017-7450-5
Published Dordrecht : Springer, [2016]
Language English
Description 1 online resource.
Item Number 10.1007/978-94-017-7450-5 doi
Call Number QH450
Dewey Decimal Classification 570.285
Summary 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.
Access Note Access limited to authorized users.
Added Author Wu, Jiaqian, editor.
Series Translational bioinformatics ; 9.
Available in Other Form Print version: 940177448X
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Record Appears in Online Resources > Ebooks
All Resources
The Analyses of Global Gene Expression and Transcription Factor Regulation
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Recent Advances and Open Questions
Long Non-coding RNAs: Critical Regulators for Cell Lineage Commitment in the Central Nervous System
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From Gene Expression to Disease Phenotypes: Network-Based Approaches to Study Complex Human Diseases
Introduction to Isoform Sequencing using Pacific Biosciences Technology (Iso-Seq)
Systematic and Integrative Analysis of Gene Expression to Identify Feature Genes Underlying Human Diseases.

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