BACKGROUND:
Technologies to probe genomes and their products
have exploded in the past decade. Bioinformatics and computational biology play
a role in cancer research and familiarity with concepts in these areas becomes
important for hypothesis generation, target validation and discovery. This
course provides an overview of genomic data analysis, specifically analytical
techniques involving DNA and gene sequences, gene mutations, gene expression
and protein measurements. The lectures provide an overview of the topics and
introduce key issues in experimental design and analytical strategies for these
molecular types. This lecture series is intended for individuals with limited exposure
to specific areas of bioinformatics.
COURSE DESCRIPTION:
Bioinformatics analysis techniques, including
derivation of analytical variables from raw signal, descriptive methods and
hypothesis testing in large dimensional studies will be presented. The basic
concepts, issues and applications of these analysis techniques will be
introduced. Examples using website tools and R will be used.
WHO WILL TAKE THIS COURSE:
Clinicians, Fellows, Cancer Researchers, and Cancer Biology Students.
*Note: Only Moffitt/PHSU Members are eligible, and exceptional cases should be discussed with the Administrative Coordinator prior to August 25.
- Manager: Steven Eschrich
- Manager: Xiaoqing Yu