Read Bioinformatics for Vaccinology by Darren R. Flower Online
[Darren R. Flower] ó Bioinformatics for Vaccinology ↠ Read Online eBook or Kindle ePUB. Bioinformatics for Vaccinology The author has done an excellent job of covering the many topics that fall under the umbrella of computational biology for vaccine design, demonstrating an admirable command of subject matter in fields as disparate as object-oriented databases and regulation of T cell response. Simply put, it has just the right breadth and depth, and it reads well. It will be of particular interest to bioinformaticians with an interest in immunology, as well as to immunologists, and other biologists who need to
| Title | : | Bioinformatics for Vaccinology |
| Author | : | |
| Rating | : | 4.91 (749 Votes) |
| Asin | : | 0470027118 |
| Format Type | : | paperback |
| Number of Pages | : | 312 Pages |
| Publish Date | : | 2015-11-03 |
| Language | : | English |
Weird and not exactly cohesive, but I like it Megarat I work in this very field (bioinformatics and vaccinology), so I expect that I am right in the middle of this book's target audience. My impressions overall have been mixed, and I regard it as half-baked, but at the end of the day I think this book is very useful. The copy I had read. "No better book on the subject exists" according to Annie D.. The author has done an excellent job of covering the many topics that fall under the umbrella of computational biology for vaccine design, demonstrating an admirable command of subject matter in fields as disparate as object-oriented databases and regulation of T cell response. Simpl
“It pulls a number of different disciplines into a concise review that illustrates the potential we have in science to change our world.” (Doody's, April 2009) "This book may well serve as a first line of reference for all biologists and computer scientists. This textbook would be an excellent addition to the bookshelf of most scientists who encounter vaccinology in the drug discovery and development processes." ( Virology Journal - October -2009)
The author has done an excellent job of covering the many topics that fall under the umbrella of computational biology for vaccine design, demonstrating an admirable command of subject matter in fields as disparate as object-oriented databases and regulation of T cell response. Simply put, it has just the right breadth and depth, and it reads well. It will be of particular interest to bioinformaticians with an interest in immunology, as well as to immunologists, and other biologists who need to understand how advances in theoretical and comput
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