A Practical Introduction to BioData Processing and Analysis with Linux, MySQL, and R
2nd ed. 2013, XXIX, 449 p. 80 illus., 66 illus. in color.
Springer SmartBook is the new eBook generation. You can read Springer Smartbooks on any smartphone, tablet or laptop/desktop machine. Smartbooks are optimized for Smartphones and Tablets. Find further information on www.springer.com/smartbooks
You can pay for Springer Smartooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly access the Smartbook via Online Reader. The access is valid infinitely. For security reasons you need only to login before reading your Smartbook online
price for USA
includes note taking, highlight and search functionality, might contain videos, glossary and quizzes
Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
New, practical exercises suitable both for courses and self-teaching
Written by an experienced lecturer and researcher
Case studies, exercises with solutions and worked-out examples are included to demonstrate and practice
Not only beginners, but also more experienced bioinformaticists will be able to gather new insights
Shows how to efficiently extract, organize and visualize information from large datasets
This greatly expanded 2nd edition provides a practical introduction to
- data processing with Linux tools and the programming languages AWK and Perl
- data management with the relational database system MySQL, and
- data analysis and visualization with the statistical computing environment R
for students and practitioners in the life sciences. Although written for beginners, experienced researchers in areas involving bioinformatics and computational biology may benefit from numerous tips and tricks that help to process, filter and format large datasets. Learning by doing is the basic concept of this book. Worked examples illustrate how to employ data processing and analysis techniques, e.g. for
- finding proteins potentially causing pathogenicity in bacteria,
- supporting the significance of BLAST with homology modeling, or
- detecting candidate proteins that may be redox-regulated, on the basis of their structure.
All the software tools and datasets used are freely available. One section is devoted to explaining setup and maintenance of Linux as an operating system independent virtual machine. The author's experiences and knowledge gained from working and teaching in both academia and industry constitute the foundation for this practical approach.
Content Level »Professional/practitioner
Keywords »Bioinformatics - Computational Biology - Linux - MySQL - Programming - Unix