Offered: Fall 2020 (September 8, 2020 – December 22, 2020)
Apply bioinformatics principles to interpret next generation sequencing (NGS) data within a clinical setting. Explore sequencing technologies and omics statistical tools to gain expertise in assessing genomic test data, and an understanding of how clinical bioinformatics pipelines work to identify, filter, annotate and prioritize candidate disease-causing variants.
- Appraise and critique genome wide sequencing technologies, including the benefits, limitations, diagnostic yields and appropriate clinical
- Apply bioinformatics methods to process NGS data, including variant calling pipelines to annotate, filter, and create a candidate list of genomic
- Evaluate bioinformatics algorithms involved in chromosomal microarray analysis, exome capture, standard short-read sequencing, optical mapping, linked-read sequencing, long-read sequencing, RNA-sequencing and other omics tools used for the detection and analysis various kinds of
- Manage statistical tools to analyze omics data in a clinical