The goal of
this course is to explore different genomic approaches and
technologies, to learn how they work from a molecular
biology view point, and to understand how
they can be applied to understanding biological systems. In addition,
we teach material on how the data generated from these approaches can
be analyzed, from an algorithmic perspective. The papers that are
discussed are a mixture of algorithmic papers, and technological
papers. Note, the course previously had a strong programming
component, with Python being the language that we taught. This Python
component has been split into its own separate course, PATH/GENE218
(Computational Analysis of Biological Information: Intro to Python for
Biologist), which will be taught by Andy Fire and Mike Cherry in the
Spring Quarter.
Each week faculty will provide a two hour lecture on a current topic within Genomics and a two hour discussion section exploring a significant paper.
The course is PASS/FAIL, based on
participation in discussion sections, including four write-ups that
must be submitted.
gene211-win2122-staff@lists.stanford.edu