Basic Genetics or molecular biology, and the willingness to use some simple
algebra and probability (or permission of department).
State-of-the-art computational analyses of genome, DNA, RNA, and protein sequences will be presented including programs for analyzing these data, and the underlying analysis methods. Topics include: sequence and structure databases; sequence assembly; sequence alignment; evolutionary analyses; gene function prediction; genome annotation; and applications for medical, agricultural and environmental genomics.
Massive amounts of sequence data are being generated.
Learn how to manage these data and address specific research questions.
Download sequences and assemble genomes! Run programs to analyze the genes!
Build phylogenetic trees! Predict structures!
This is a beginning course in bioinformatics. We cover basic principles of the field,
provide practice in using some of the computational tools available, and explain
how these tools work and what options are available.