Semester.ly

Johns Hopkins University | AS.020.355

Fundamentals of Genome Informatics

3.0

credits

Average Course Rating

(4.71)

This course will cover fundamental methods used in the analysis of genomic sequencing data, with a particular focus on recent developments in comparative and functional genomic assays. In particular, we will cover approaches for 1) genomic sequencing and assembly, including resequencing and personal genomes, 2) comparing genomes and modeling genome evolution, 3) identifying functional elements using both functional genomicsand computational models. While the course will focus on particular problems in genomics, we will emphasize core algorithmic concepts that generalize to the analysis of other types of biological data.

Spring 2015

Professor: James Taylor

(4.71)

The best part about this class was the team of enthusiastic professors who delivered engaging and informative lectures. Students appreciated that professors made notes and lecture recordings available online, and enjoyed the application of concepts learned in previous biology classes. Many students were frustrated that the AV system did not always work. Others claimed that the three tests were not sufficient to test the course material, and that they would have preferred more exams or other opportunities for grades. Suggestions for improvement included providing homework assignments and video recordings of lectures. Prospective students should take cell biology and genetics first.