Essential computing skills for biologists /
Wang, Ziling, MD,
Essential computing skills for biologists / Ziling Wang, Lishu Zhang. - Beijing, China : Higher Education Press Limited Company ; London ; Hackensack, NJ : World Scientific Publishing Europe Ltd., [2018] - ix, 293 pages : illustrations ; 24 cm. - Series on advances in bioinformatics and computational biology ; volume 11 . - Series on advances in bioinformatics and computational biology ; v. 11. .
Includes bibliographical references and index.
Part I. Databases and bioinformatics tools. Online sequence databases -- Sequence alignment -- Molecular phylogeny and evolution -- Predicting DNA and protein function from sequence -- Protein structure -- Part II. Bioinformatics for omics data. Human genetic variation and human disease -- Gene expression profiling with microarray : online resources and data management -- Bioinformatics for qualitative and quantitative proteomics -- Bioinformatics for metabolomics -- Gene ontology database and KEGG database -- Part III. Statistics and programming. Basic algorithms for bioinformatics -- An introduction to R.
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.-- Provided by the Publisher
9781848169241
2017058720
Bioinformatics.
Computational biology.
Biology--Data processing.
QH 324.2 / .W184 2018
Essential computing skills for biologists / Ziling Wang, Lishu Zhang. - Beijing, China : Higher Education Press Limited Company ; London ; Hackensack, NJ : World Scientific Publishing Europe Ltd., [2018] - ix, 293 pages : illustrations ; 24 cm. - Series on advances in bioinformatics and computational biology ; volume 11 . - Series on advances in bioinformatics and computational biology ; v. 11. .
Includes bibliographical references and index.
Part I. Databases and bioinformatics tools. Online sequence databases -- Sequence alignment -- Molecular phylogeny and evolution -- Predicting DNA and protein function from sequence -- Protein structure -- Part II. Bioinformatics for omics data. Human genetic variation and human disease -- Gene expression profiling with microarray : online resources and data management -- Bioinformatics for qualitative and quantitative proteomics -- Bioinformatics for metabolomics -- Gene ontology database and KEGG database -- Part III. Statistics and programming. Basic algorithms for bioinformatics -- An introduction to R.
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.-- Provided by the Publisher
9781848169241
2017058720
Bioinformatics.
Computational biology.
Biology--Data processing.
QH 324.2 / .W184 2018
