Bioinformatics Biocomputing and Perl
An Introduction to Bioinformatics Computing Skills and Practice
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Beschreibung
Bioinformatica, Biocomputing and Perl presents an extended tutorial introduction to programming through Perl, the premier programming technology of the bioinformatics community. Even though no previous programming experience is assumed, completing the tutorial equips the reader with the ability to produce powerful custom programs with ease.
Working with Data applies the programming skills acquired to processing a variety of bioinformatics data. In addition to advice on working with important data stores such as the Protein DataBank, SWISS-PROT, EMBL and the GenBank, considerable discussion is devoted to using bioinformatics data to populate relational database systems. The popular MySQL database is used in all examples.
Working with the Web presents a discussion of the Web-based technologies that allow the bioinformatics researcher to publish both data and applications on the Internet.
Working with Applications shifts gear from creating custom programs to using them. The tools described include Clustal-W, EMBOSS, STRIDE, BLAST and Xmgrace. An introduction to the important Bioperl Project concludes this chapter and rounds off the book.
Each chapter contains a series of maxims designed to highlight key points and there are exercises to supplement and cement the introduced material. Source code, related links, errata and presentation materials are provided at glasnost.itcarlow.ie/~biobook/index.html (in PowerPoint format).
Perl ist die Programmiersprache der Wahl für Anwendungen in vielen Bereichen der Bioinformatik. Mit dieser Einführung lernen Sie, Perl-Algorithmen für bestimmte Aufgaben zu konzipieren, speziellen Problemen anzupassen und mit komplexen Datenstrukturen umzugehen.
Autor*in
Michael Moorhouse
Themen in »Bioinformatics Biocomputing and Perl«
Bioinformatics & Computational Biology Bioinformatik Bioinformatik u. Computersimulationen in der Biowissenschaften Biomedical Engineering Biomedizintechnik Biowissenschaften Computational Bioengineering Life Sciences Rechnergestütztes Bioengineering