PATH 924 - Introduction to Web-Based Bioinformatics and Computational Biology Tools

Cr Hrs: 2 (32-0-0)
GR

The goal of his course is to enable student to interpret the biological meaning of gene sets identified by high-throughput technologies (e.g., expression array, transcriptome sequencing, ChIP-sequencing and genome sequencing) using online tools and public databases.

OBJECTIVE 1: Students will learn how to identify the major regulatory/functional elements and functional partners of a gene at genome, RNA and protein levels.

OBJECTIVE 2: Students will learn how to analyze genome-wide gene expression data and transcriptome sequencing (RNA-seq) data to identify differentially expressed genes, and how to classify genes according to their function, regulation, and disease-association.

OBJECTIVE 3: Students will learn how to analyze chromatin immunoprecipitation sequencing (ChIP-seq) data to map transcription factor binding sites (TFBSs), and how to define the biological significance of TFBSs by integrated analysis of ChIP-seq data, gene expression data and epigenetic modification data.

OBJECTIVE 4: Students will learn how to define the biological significance of germline and somatic genomic alterations (e.g., gain or loss of gene copy number and mutations) by integrated analysis of gene expression data (mRNA and miRNA) and genomic sequencing data.

Grade Mode: Standard

Instructional Method: Lecture

Term offered: Fall

Fall - Instructor of Record: Meiyun Fan

Fall - Additional Instructor 1: Daniel L. Johnson