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Introduction to Computational Molecular Biology 1st Edition
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Top Customer Reviews
The book starts with two brief chapters on biology and mathematical basics - graph theory and algorithm analysis. I'm sorry to say that these really are too brief. A reader who comes in with little knowledge of either topic will probably leave with about the same level of knowledge.
After that, the authors give coverage of the basics, as `97 writers saw them: approximate string matching, fragment assembly, mapping, trees, and a discussion of the reversals that occur in DNA over evolutionary time. Each topic is presented carefully, in a number of variations, and with formal analysis of the algorithmic complexity. That last won't do much for the biologists in the crowd, but gives programmers a good idea of how each technique will behave as the problems grow larger (and they always do). The presentation generally stick with the most popular algorithms, emphasizing detailed presentation over breadth of coverage. Multiple alignment, in particular, could have used a lot more pages. Also, topics like assembly and restriction digests aren't at the forefront of analysis any more. They're important, but good algorithms exist in widely available tools, and more advanced analyses tend to attract more attention these days. The section on genome rearrangements is quite good, but seems to stand alone - it could have been one input into tree building, but the authors don't draw any clear relationships between the reorderings and any other problems.
The section on structure prediction is definitely showing its age.Read more ›
Bottom line: old, small, expensive. Fine an alternative.
Most Recent Customer Reviews
In my long career in computational science, I have often tried to calculate how many licks it takes to get the center of a tootsie pop. Read morePublished on December 12, 2007 by Miles W. Carter
We used this book in a bioinformatics class. It can take a whole semester to discuss this little book. The approach here is algorithmic. Read morePublished on November 16, 2005 by Henry Lenzi
I do not think it is a good introduction book for biologists to learn computational biology. The authors should have used more figures and examples to illustrate the concepts. Read morePublished on November 16, 2001