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Index
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- Computing for Biologists
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- 22 September 2014, pp 206-207
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Part I - Python versus Pathogens
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- 22 September 2014, pp 23-24
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Where to go from here
- from Part IV - Additional Topics
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- 22 September 2014, pp 205-205
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11 - The UPGMA Algorithm
- from Part III - Phylogenetic Reconstruction and the Origin of Modern Humans
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- 22 September 2014, pp 163-174
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7 - Dictionaries, Memoization, and Speed
- from Part II - Sequence Alignment and Sex Determination
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- 22 September 2014, pp 100-115
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13 - Gene Regulatory Networks and the Maximum Likelihood Method
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- 22 September 2014, pp 186-195
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Frontmatter
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- 22 September 2014, pp i-iv
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Part II - Sequence Alignment and Sex Determination
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- 22 September 2014, pp 71-74
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Part III - Phylogenetic Reconstruction and the Origin of Modern Humans
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- 22 September 2014, pp 141-144
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10 - Drawing Trees
- from Part III - Phylogenetic Reconstruction and the Origin of Modern Humans
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- 22 September 2014, pp 154-162
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Part IV - Additional Topics
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- 22 September 2014, pp 175-176
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1 - Computing GC Content
- from Part I - Python versus Pathogens
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- 22 September 2014, pp 25-40
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![](https://assets.cambridge.org/97811076/42188/cover/9781107642188.jpg)
Computing for Biologists
- Python Programming and Principles
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- 22 September 2014
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8 - Sequence Alignment and the Evolution of Sex Chromosomes
- from Part II - Sequence Alignment and Sex Determination
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- 22 September 2014, pp 116-140
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Contents
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- 22 September 2014, pp v-viii
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0 - Meet Python
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- 22 September 2014, pp 1-22
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3 - Open Reading Frames and Genes
- from Part I - Python versus Pathogens
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- 22 September 2014, pp 53-64
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4 - Finding Genes (at last!)
- from Part I - Python versus Pathogens
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- 22 September 2014, pp 65-70
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14 - Birds, Bees, and Genetic Algorithms
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- 22 September 2014, pp 196-204
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5 - Recursion
- from Part II - Sequence Alignment and Sex Determination
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- 22 September 2014, pp 75-86
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