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# Read * Computational Methods in Molecular Biology, Volume 32 (New Comprehensive Biochemistry) by Elsevier Science ✓ eBook or Kindle ePUB. Computational Methods in Molecular Biology, Volume 32 (New Comprehensive Biochemistry) "Brief glimpses of many topics" according to wiredweird. I think the book is more about bioinformatics than molecular biology, but good anyway. If a student has already made some headway in bioinformatics, she is likely to want a peek at the different directions and depths that future study will offer. This book gives a good preview.Its fifteen chapters are almost all by different authors, on different topics, in different styles and with different mathematical tools. Except for some introd. a s
| Title | : | Computational Methods in Molecular Biology, Volume 32 (New Comprehensive Biochemistry) |
| Author | : | |
| Rating | : | 4.51 (593 Votes) |
| Asin | : | 0444502041 |
| Format Type | : | paperback |
| Number of Pages | : | 368 Pages |
| Publish Date | : | 2013-10-03 |
| Language | : | English |
"Brief glimpses of many topics" according to wiredweird. I think the book is more about bioinformatics than molecular biology, but good anyway. If a student has already made some headway in bioinformatics, she is likely to want a peek at the different directions and depths that future study will offer. This book gives a good preview.Its fifteen chapters are almost all by different authors, on different topics, in different styles and with different mathematical tools. Except for some introd. a student said covers lots of practical topics, however rather superficial.. This book is introductory. It deals with many topics such as biological sequence analysis, hidden markov model(HMM), gene prediction using Neural Networks, RNA splicing signal model, evolutionary approach and protein structure modeling. It is helpful to glimpse a broad overview of these topics, however the explanations are rather superficial. Especially the chapters covering sequence analysis are too concise.In this respect, I recomme. A terrific overview of the grand challenges This book offers a wonderful overview of the computational problems in bioinformatics. Readers with an interest in Artificial Intelligence / Machine Learning will find this book especially worthwhile. There are chapters on hidden Markov models, case-based reasoning, neural networks, evolutionary approaches (Genetic Algorithms), decision-trees, and probabilistic networks, among others. The book covers sequence analysis, gene prediction
Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. A secondary audience will be computer scientists developing techniques with applications in biology. 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 stude
3. 1, No. Clear and easy to follow, designed specifically for the non computer scientist, it will help biologists make better choices on which algorithm to use.Documentation()an impressive selection of papers, all authored by leading bioinformaticians. This horse's mouth approach has the advantage of getting really authoritative explanations of the problems and their solutions.()significant effort has been made to introduce each topic in general terms before ploughing deeper into the structure, constraints and functions of biological molecules.Briefings In Bioinformatics, Vol. The volume covers this large multi-disciplinary field of research quite well,
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