Bioinformatics in Diagnostic Genetics II

Catalog description

This course will introduce the students to Advanced Bioinformatics toolkits with special emphasis on (i) Molecular Phylogenetic and Population Genetics and (ii) post Next-Generation Sequencing Analytical Strategies pipelines. Students will be introduced to theoretical foundations of advanced phylogenetic hypothesis testing, including model selection, detection of recombination and selection from MSAs, comparison of phylogenies etc. Students will learn to measure fundamental population genetic statistics such as mutation and recombination rates, linkage disequilibrium, gene flow, genetic differentiation with using human and other reference sequence datasets. Students will focus on analyzing and validating SNP and SNVs from whole genome and exome sequencing datasets; will learn to implement the RNA-seq analysis for quantifying gene expression in disease and control cases; and will learn ChiP-seq data analysis using reference sequence data sets. Students will learn to implement advanced molecular phylogenetic tools for testing tumor evolution and other diseases. Students will be assigned an independent project to perform sophisticated bioinformatics analysis on high throughput NGS data, which could be from their own thesis projects (if thesis involves NGS analysis) or assigned by the Faculty (if thesis does not involve NGS analysis). Course Fee: $38.11