Advanced Topics in Bioinformatics & Computational Biology

Molecular Evolution

The course will focus on the quantitative study of molecular evolution using sequence and structural data, showing how both classical and novel methods in population genetics, bioinformatics and computational biology can be used to assess the variability in the genomic sequences and make inferences about the underlying processes of natural selection and evolution. The course is primariy aimed at the students interested in quantitative aspects of biology, and may be useful to practicing biologists desiring a deeper understanding of the computational and stastical techniques.
Catalog number: BBS705
Course Coordinator: Konstantin Zeldovich
Semester Offered: Fall
Last Taught: Spring 2014

Advanced Topics in Bioinformatics

The Adanced Topics in Bioinformatics course covers several important areas of modern bioinformatics and computational biology. The course is aimed not only at students specializing in bioinformatics, but also general biology students who would like to utilize bioinformatics tools in their daily research. The course will begin with an overview of modern sources of bioinformatics data, including high-throughput sequencing and microarrays, followed by a thorough presentation of sequence search and alignment algorithms, and the structure of the eukaryotic genome. Next, we will introduce population genetics - spanning from molecular phylogenetics to natural selection, with an emphasis on analyzing genomic datasets. The biophysical section of the course will include discussions of protein structure and folding, as well as the physical architecture of the genome in vivo, and the relations between sequences and structures for proteins and DNA. The course will include 10 lectures, followed by work on individual or group research projects, presented in lieu of the final exam.
Catalog number: BBS741
Course Coordinator: Zhiping Weng
Semester Offered: Spring
Last Taught: Spring 2013

Quantitative Informatics in Biology and Medicine

The goal of this course is to introduce GSBS graduate students to the informatics approaches spanning bioinformatics to medical informatics and epidemiology. The course is structured in 5 week sections covering fundamentals of bioinformatics, applications of bioinformatics and genomics, and clinical research informatics.
Catalog number: BBS785
Course Coordinator: Jeffrey Bailey
Semester Offered: Fall
Last Taught: Fall 2012

Bioinformatics Basics: Sequence Analysis Bootcamp

This is a six-week, one-credit course that will consist of a series of lectures on Unix , R language and bioinformatics tools for molecular biologists. The main goal is to introduce the audience to the basics of the bioinformatics of deep sequencing data analysis. No prior computer or programming skills are required to follow the lectures. This bootcamp starts with a quick introduction to the Unix environment. Then genomic databases and file formats will be discussed. Then usage of Galaxy, a graphical user interface for bioinformatics tools, will be demonstrated. This is followed by the basics of RNA-Seq data analysis and visualizing RNA-Seq data. The last part of this bootcamp is on statistical analysis. A brief introduction to R programming language is followed by statistical tools and methods for RNA-Seq data analysis. Performance on assignments (problem sets) will determine the course grade.
Catalog number: BBS809
Course Coordinator: Manuel Garber
Semester Offered: Spring
Last Taught: Spring 2014