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STATS 155. Statistical Methods in Computational Genetics. 3 Units.

The computational methods necessary for the construction and evaluation of sequence alignments and phylogenies built from molecular data and genetic data such as micro-arrays and data base searches. How to formulate biological problems in an algorithmic decomposed form, and building blocks common to many problems such as Markovian models, multivariate analyses. Some software covered in labs (Python, Biopython, XGobi, MrBayes, HMMER, Probe). Prerequisites: knowledge of probability equivalent to STATS 116, STATS 202 and one class in computing at the CS 106 level. Writing intensive course for undergraduates only. Instructor consent required. (WIM).

School of Engineering

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...be taken rather than STATS 110 Statistical Methods...149 , CS 154 , CS 155 , CS 157 (or...

Undergraduate Major Unit Requirements

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...134 , EE 153 , EE 155 , EE 168 , EE...78-84 Capstone course STATS 200 CS 181W...