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2 Reviews
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2 of 2 people found the following review helpful:
4.0 out of 5 stars
A vision of future directions
The previous reviewer is correct that this is not a book on coding or data models. But it is not intended to be. The author has a vision of where bioinformatics needs to go and he articulates this clearly. Most books in the field are blinkered by comparison. Chapter 4 on network analysis of moelecular interactions is a valuable (if general) contribution to the discussion...
Published on February 5, 2002 by Steven Forth
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9 of 10 people found the following review helpful:
2.0 out of 5 stars
More Bio than Infomatics
This book does a great job covering the basics of gentics and the problems posed for bioinformatics. How the ATCG build up to amino acids, those into DNA, RNA, Proteins, viruses... Then using each of these hierarchical levels as a point of view for analysis, searching, comparisons. Strong concepts, got me thinking. It's a good primer/ref for this, but that's only half...
Published on November 7, 2001 by Edster
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9 of 10 people found the following review helpful:
2.0 out of 5 stars
More Bio than Infomatics,
By Edster "Edster" (Nashua, NH United States) - See all my reviews
Amazon Verified Purchase(What's this?)
This review is from: Post-genome Informatics (Paperback)
This book does a great job covering the basics of gentics and the problems posed for bioinformatics. How the ATCG build up to amino acids, those into DNA, RNA, Proteins, viruses... Then using each of these hierarchical levels as a point of view for analysis, searching, comparisons. Strong concepts, got me thinking. It's a good primer/ref for this, but that's only half of what I bought the book for. The two stars are earned here.The Informatics part is a wash over (Extremely weak). They talk about raw data (factual) versus annotation and writeups oriented more for research than comparisions. They mention relational databases, show one simple sample query, and then talk about object oriented programming and it's advantages for two pages. There is no code in this book. There is not a sample data model, nor an attempt to do any modeling of this complex data. No stars earned here, this is not a computer-technical reference. Repeat:This is not a computer-technical reference. The book does list web references for more information and web sites for updates and flat file feeds. A plus, but if you use a search engine, you can find the same things.
2 of 2 people found the following review helpful:
4.0 out of 5 stars
A vision of future directions,
By Steven Forth (Vancouver, BC Canada) - See all my reviews
This review is from: Post-genome Informatics (Paperback)
The previous reviewer is correct that this is not a book on coding or data models. But it is not intended to be. The author has a vision of where bioinformatics needs to go and he articulates this clearly. Most books in the field are blinkered by comparison. Chapter 4 on network analysis of moelecular interactions is a valuable (if general) contribution to the discussion on how computational and systems models can be applied to deepening our understanding of how pathways might actually work, and how these models can be connected to existing data resources.The references are somewhat patchy, or I would have given the book five stars, but still provide some useful leads. |
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Post-genome Informatics by Minoru Kanehisa (Paperback - March 23, 2000)
$99.00
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