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Computational Biology and Bioinformatics: Gene Regulation

Computational Biology and Bioinformatics: Gene Regulation

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  • More about Computational Biology and Bioinformatics: Gene Regulation

Advances in biotechnology, such as next-generation sequencing technologies, are driving positive competition, but companion data analytical skills and computational methods are essential for making biotechnology-output data meaningful. This book collects state-of-the-art research works in computational biology and bioinformatics with a thematic focus on gene regulation, targeting senior undergraduates and junior graduate students in related disciplines. It will also serve as a useful reference for bioinformaticians and computational biologists in the post-genomic era.

Format: Paperback / softback
Length: 438 pages
Publication date: 31 March 2021
Publisher: Taylor & Francis Ltd

Advances in biotechnology, such as next-generation sequencing technologies, are happening at an incredible pace. These advancements and breakthroughs provide competitive advantages to those who are prepared. However, the driving force behind the positive competition is not only limited to technological advancement but also to the companion data analytical skills and computational methods collectively known as computational biology and bioinformatics. Without these skills, the biotechnology-output data by itself is raw and perhaps meaningless. To raise awareness of this, we have collected the state-of-the-art research works in computational biology and bioinformatics with a thematic focus on gene regulation in this book. This book is designed to be self-contained and comprehensive, targeting senior undergraduates and junior graduate students in the related disciplines such as bioinformatics, computational biology, biostatistics, genome science, computer science, applied data mining, applied machine learning, life science, biomedical science, and genetics. In addition, we believe that this book will serve as a useful reference for both bioinformaticians and computational biologists in the post-genomic era.

Weight: 807g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367782979

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