Essential Computing Skills for Biologists

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.

Contents:

• Databases and Bioinformatics Tools:
  • Online Sequence Database
  • Sequence Alignment
  • Molecular Phylogeny and Evolution
  • Predicting DNA and Protein Function from Sequence
  • Protein Structure
• 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
• Statistics and Programming:
  • Basic Algorithms for Bioinformatics
  • An Introduction to ℝ

Readership: Senior undergraduate students, graduate students and scientists in Bioinformatics, Computational Biology and related disciplines such as Biology, Computer Science, Mathematics, Physics, Statistics and Chemistry.
Bioinformatics;Perl;Linux;R0Key Features:

• This book covers 3 skill sets essential for people who study bioinformatics and computational biology. In reality many students and researchers do not have access to the training on these skills
• The authors are Bioinformaticians who are responsible for training senior undergraduate students and graduate students
• Real examples in Bioinformatics and Computational Biology study will be used in the book