Chapman & Hall/CRC Computational Biology

From Omics to Next Generation Sequencing

By: Shili Lin, Denise Scholtens, Sujay Datta

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Hardcover | 16 September 2022 | Edition Number 1

At a Glance

Hardcover
352 Pages

Dimensions(cm)
23.39 x 15.6 x 2.06

Hardcover

RRP $221.00

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The past three decades have witnessed an explosion of what is now referred to as high-dimensional omics' data. Bioinformatics Methods: From Omics to Next Generation Sequencing describes the statistical methods and analytic frameworks that are best equipped to interpret these complex data and how they apply to health-related research. Covering the technologies that generate data, subtleties of various data types, and statistical underpinnings of methods, this book identifies a suite of potential analytic tools, and highlights commonalities among statistical methods that have been developed.

An ideal reference for biostatisticians and data analysts that work in collaboration with scientists and clinical investigators looking to ensure rigorous application of available methodologies.

Key Features:

Survey of a variety of omics data types and their unique features
Summary of statistical underpinnings for widely used omics data analysis methods
Description of software resources for performing omics data analyses

Industry Reviews

"In conclusion, "Bioinformatics Methods: FromOmics to Next Generation Sequencing" is an essential reference for researchers, students, and professionals in the broad field of biomedicine who are interested in the biostatistics and bioinformatics aspects of omics. Its comprehensive coverage, clear explanations, practical applications, and incorporation of the latest advancements make it an invaluable resource. By empowering readers with the knowledge and tools to navigate the complexities of biological data, this book paves the way for groundbreaking discoveries and advancements in the realm of life sciences."

Yu-Chiao Chiu, Cancer Therapeutics Program, University of Pittsburgh Medical Center Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA, Biometrics.

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