Advances in genetics and gene mapping has led to new challenges for statisticians. Dr. Carlson and "wired weird" have each given excellent reviews of the contents of this book. I need not repeat what they have said. Instead I choose to explain the importance of the material in the book so that you can appreciate the value of it. Microarray technology and the mapping of the human genome have enabled researchers to test...
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The first name people learn in bioinformatics is the Smith-Waterman algorithm. Some people never learn anything else. This is by that Waterman. Although written in 1995, it still has some of the best discussion I've seen on the topics it addresses.The first few chapters deal with the "digest problem," reconstructing a DNA or protein sequence from the fragment sizes of enzyme digests. The technique is not used as much now as...
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This book gives a good survey of the different techniques employed by computational biologists. After a brief review of molecular biology in Chapter 1, the author treats the mathematical modeling of restriction maps in Chapter 2 using graph theory. His presentation is somewhat hurried, but he does give references and gives the reader three exercises at the end of the chapter. Multiple maps are treated in Chapter 3, wherein...
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