 | Bioinformatics Biocomputing and Perl : An Introduction to Bioinformatics Computing Skills and Practice
by Michael Moorhouse, Paul Barry
Description: Bioinformatics, Biocomputing and Perl presents a modern introduction to bioinformatics computing skills and practice. Structuring its presentation around four main areas of study, this book covers the skills vital to the day-to-day activities of today’s bioinformatician. Each chapter contains a series of maxims designed to highlight key points and there...more
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 | Developing Bioinformatics Computer Skills
by Cynthia Gibas, Per Jambeck
Description: Bioinformatics--the application of computational and analytical methods to biological problems--is a rapidly evolving scientific discipline. Genome sequencing projects are producing vast amounts of biological data for many different organisms, and, increasingly, storing these data in public databases. Such biological databases are growing exponentially, along with ...more
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 | Mastering Perl for Bioinformatics
by James D. Tisdall
Description: Historically, programming hasn't been considered a critical skill for biologists. But now, with access to vast amounts of biological data contained in public databases, programming skills are increasingly in strong demand in biology research and development. Perl, with its highly developed capacities in string handling, text processing, networking, and rapid...more
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 | Beginning Perl for Bioinformatics
by James Tisdall
Description: Biology, it seems, is a good showcase for the talents of Perl. Newcomers to Perl who understand biological information will find James Tisdall's Beginning Perl for Bioinformatics to be an excellent compendium of examples. Teachers of Perl will likewise find the text to be filled with fresh programming illustrations of...more
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 | An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)
by Neil C. Jones, Pavel A. Pevzner
Description: This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems.
...more
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