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At last, here is a baseline book for anyone who is confused by cryptic computer programs, algorithms and formulae, but wants to learn about applied bioinformatics. A brilliant overview complete with glossary.
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From the reviews (of the German edition):
The book presents a fundamental and practical treatment of all important aspects. (...) The text is well written and easy to understand. It stimulates to go on reading to the end of each chapter and to work on the "questions".
(Biospektrum Oct. 2004)
So far, sciences students have no systematic introduction available into the structure of data bases and the intelligently structured search for information. The new text book of Selzer, Marhöfer and Rohwer here fills this gap. The book can be thoroughly recommended to students and instructors in the sciences and molecular medicine. It also can be very useful for biocomputering courses being established at a growing number of universities.
(Biologen heute 5.2003)
Particularly useful are the description of the existing, important data bases on the internet, their usage, and the handling and analysis of the data gained as well as their application in bioinformatics.
(Informatik, Biometrie und Epidemiologie in Medizin und Biologie Feb.2004)From the Back Cover:
This book introduces readers to the basic principles of bioinformatics and the practical application and utilization of computational tools, without assuming any prior background in programming or informatics. It provides a coherent overview of the complex field and focuses on the implementation of online tools, genome databases and software that can benefit scientists and students in the life sciences. Training tutorials with practical bioinformatics exercises and solutions facilitate the understanding and application of such tools and interpretation of results. In addition, a glossary explains terminology that is widely used in the field. This straightforward introduction to applied bioinformatics offers an essential resource for students, as well as scientists seeking to understand the basis of sequencing analysis, functional genomics and protein structure predictions.
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