Essential Computing Skills for Biologists

Nonfiction, Science & Nature, Science, Physics, Mathematical Physics, General Physics
Cover of the book Essential Computing Skills for Biologists by Ziling Wang, Lishu Zhang, World Scientific Publishing Company
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Author: Ziling Wang, Lishu Zhang ISBN: 9781848169265
Publisher: World Scientific Publishing Company Publication: July 2, 2018
Imprint: WSPC (EUROPE)/HEP Language: English
Author: Ziling Wang, Lishu Zhang
ISBN: 9781848169265
Publisher: World Scientific Publishing Company
Publication: July 2, 2018
Imprint: WSPC (EUROPE)/HEP
Language: English

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.

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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.

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