Read Computational Molecular Biology: An Introduction by Peter Clote, Rolf Backofen Online
* Read # Computational Molecular Biology: An Introduction by Peter Clote, Rolf Backofen ✓ eBook or Kindle ePUB. Computational Molecular Biology: An Introduction "Interesting but not very good for beginners" according to A Customer. This is an unusual book. The authors obviously have not been aquinted with biomolecular sequence analysis and fail to give state-of-the-art references to research work in this field. The same comment applies to the description of applications of Shannon communication theory to DNA and protein sequence analysis. The enormous impact of these applications in the 1970s, 1980s and 1990s is not reflected in the. Don't start with th
| Title | : | Computational Molecular Biology: An Introduction |
| Author | : | |
| Rating | : | 4.60 (769 Votes) |
| Asin | : | 0471872520 |
| Format Type | : | paperback |
| Number of Pages | : | 300 Pages |
| Publish Date | : | 2013-01-18 |
| Language | : | English |
Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or bioinformatics, a subject reliant on both theoretical and practical contributions from statistics, mathematics, computer science and biology. * Provides the background mathematics required to understand why certain algorithms work * Guides the reader through probability theory, entropy and combinatorial optimization * In-depth coverage of molecular biology and protein structure prediction * Includes several less familiar algorithms such as DNA segmentation, quartet puzzling and DNA strand separation prediction * Includes class tested exercises useful for self-study * Source code of programs available on a Web site Primarily aimed at advanced undergraduate and graduate students from bioinformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest resea
"much needed introductory level text on the subject" (La Doc STI, July 2000) "very concise and compact" (Mathematical Reviews, 2002h)
"Interesting but not very good for beginners" according to A Customer. This is an unusual book. The authors obviously have not been aquinted with biomolecular sequence analysis and fail to give state-of-the-art references to research work in this field. The same comment applies to the description of applications of Shannon communication theory to DNA and protein sequence analysis. The enormous impact of these applications in the 1970s, 1980s and 1990s is not reflected in the. Don't start with this book A Customer In general I agree with the two previous reviews.This book is not very good as an introduction. First read some other book such as Setubal and Meidanis, "Introduction to Computational Molecular Biology"; or Krane & Raymer, "Fundamental Concepts of Bioinformatics". These books have more readable narrative and examples.The writing in this book is obtuse. It is written like an advanced abstract math book, no. Brendan LeFebvre said Unsuitable for its stated purpose.. The book purports to be a "self-contained introduction" to computational biology. It fails on both counts due to its excessive ambition, its opaque pedagogy, and a large number of significant typographical errors, such as entire subroutines missing from pseudocode examples. Undergraduates seeking an accessible survey are advised to look elsewhere.That said, the mathematical rigor of the text makes it idea
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