Description

Book Synopsis
This is a handbook of methods and protocols for biologists. It aimed at undergraduate, graduate students and researchers originally trained in biological or medical sciences who need to know how to access the data archives of genomes, proteins, metabolites, gene expression profiles and the questions these data and tools can answer. For each chapter, the conceptual and experimental background is provided, together with specific guidelines for handling raw data, including preprocessing and analysis.The content is structured into three parts. Part one introduces basic knowledge about popular bioinformatics tools, databases and web resources. Part two presents examples of omics bioinformatics applications. Part three provides basic statistical analysis skills and programming skills needed to handle and analyze omics datasets.

Table of Contents
Use Linux; Write programs in Perl; Use BioPerl; Use R to Analyze Data and Generate Pictures.

Essential Computing Skills For Biologists

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    RRP £70.00 – you save £3.50 (5%)

    Order before 4pm today for delivery by Thu 18 Jun 2026.

    A Hardback by Ziling Wang, Lishu Zhang

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      View other formats and editions of Essential Computing Skills For Biologists by Ziling Wang

      Publisher: Imperial College Press
      Publication Date: 23/08/2018
      ISBN13: 9781848169241, 978-1848169241
      ISBN10: 1848169248

      Description

      Book Synopsis
      This is a handbook of methods and protocols for biologists. It aimed at undergraduate, graduate students and researchers originally trained in biological or medical sciences who need to know how to access the data archives of genomes, proteins, metabolites, gene expression profiles and the questions these data and tools can answer. For each chapter, the conceptual and experimental background is provided, together with specific guidelines for handling raw data, including preprocessing and analysis.The content is structured into three parts. Part one introduces basic knowledge about popular bioinformatics tools, databases and web resources. Part two presents examples of omics bioinformatics applications. Part three provides basic statistical analysis skills and programming skills needed to handle and analyze omics datasets.

      Table of Contents
      Use Linux; Write programs in Perl; Use BioPerl; Use R to Analyze Data and Generate Pictures.

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