Computational Biology: A Practical Introduction to BioData Processing and Analysis with Linux, MySQL, and R - Rilegato

Wnschiers, Rbbe

Rilegato

ISBN 10: 3642347487 ISBN 13: 9783642347481

Casa editrice: Springer Nature, 2013

Riassunto

<p>This greatly expanded 2nd edition provides a practical introduction to </p><p>- data processing with Linux tools and the programming languages AWK and Perl</p><p>- data management with the relational database system MySQL, and</p><p>- data analysis and visualization with the statistical computing environment R </p><p>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 </p><p>- finding proteins potentially causing pathogenicity in bacteria, </p><p>- supporting the significance of BLAST with homology modeling, or</p><p>- detecting candidate proteins that may be redox-regulated, on the basis of their structure.</p><p>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.</p><p></p>

Su questo libro

Informazioni sull?autore

Röbbe Wünschiers is Professor for Biochemistry/Molecular Biology at University of Applied Sciences Mittweida/Germany, where is teaching courses on biotechnology and bioinformatics. In 2004 he published the textbook “Computational Biology - Unix/Linux, Data Processing and Programming” with Springer. The new edition of this book will benefit from several years of teaching experience at different Universities, and his experience gathered while leading a bioinformatics team at BASF Plant Science, Germany.

Dalla quarta di copertina

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 softwaretools 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.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 3642347487
• ISBN 13: 9783642347481
• Rilegatura: Copertina rigida
• Numero edizione: 2
• Numero di pagine: 449
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania