Simon Kasif - Böcker
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2 produkter
2 produkter
Del 32 - New Comprehensive Biochemistry
Computational Methods in Molecular Biology
Häftad, Engelska, 1999
966 kr
Skickas inom 5-8 vardagar
Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities.This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms.The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book.A secondary audience will be computer scientists developing techniques with applications in biology.An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology.
Research in Computational Molecular Biology
9th Annual International Conference, RECOMB 2005, Cambridge, MA, USA, May 14-18, 2005, Proceedings
Häftad, Engelska, 2005
1 091 kr
Skickas inom 10-15 vardagar
This book constitutes the refereed proceedings of the 9th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2005, held in Cambridge, MA, USA in May 2005.The 39 revised full papers presented together with abstracts of keynote talks were carefully reviewed and selected from 217 submissions. As the top conference in computational molecular conference, RECOMB addresses all current issues in algorithmic and theoretical bioinformatics.