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Image of - Bioinformatics Methods From Omics To Next Generation Sequencing | Hardcover
Bioinformatics Methods From Omics To Next Generation Sequencing | Hardcover

Bioinformatics Methods From Omics To Next Generation Sequencing | Hardcover

by Lin S.

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 featuresSummary of statistical underpinnings for widely used omics data analysis methodsDescription of software resources for performing omics data analyses

Highlights

  • binding-icon

    9781498765152

    ISBN:

  • binding-icon

    Lin S.

    Author:

  • binding-icon

    336

    Pages:

  • binding-icon

    3500 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2023

    Year:

  • edition-icon

    1st Edition

    Edition:

  • binding-icon

    Hardcover

    Binding:

9220

11525

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 featuresSummary of statistical underpinnings for widely used omics data analysis methodsDescription of software resources for performing omics data analyses

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