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Prologue (in praise of cells); 1. The first look at a genome (sequence statistics); 2. All the sequence's men (gene finding); 3. All in the family (sequence alignment); 4. The boulevard of broken genes (hidden Markov models); 5. Are Neanderthals among us? (variation within and between species); 6. Fighting HIV (natural selection at the molecular level); 7. SARS: a post-genomic epidemic (phylogenetic analysis); 8. Welcome to the hotel Chlamydia (whole genome comparisons); 9. The genomics of wine-making (analysis of gene expression); 10. A bed-time story (identification of regulatory sequences); Appendix.
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| $99.99 | Digital |
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Darin vandeventer
reviewed Introduction to computational genomics on December 28, 2010
Introduction to computational genomics
Genomics is now a separate academic discipline (for example, it has its own department at the University of Washington, like statistics), and there are many cool applications of computer science to its problems: dynamic programming-based algorithms for comparing sequences of codons, a greedy algorithm for inferring phylogenetic trees, and so on. For me the algorithms are simple, but the problem domain isn't; perhaps for the target audience it is the other way around. I bought it because it was used for some undergraduate computer science course at my alma mater, though.
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