Advance Bioinformatics and Genome Informatics

1 Unit · Graduate

The course will be oriented towards graduate students in HSIP, DGP and related programs. It will consist of lectures/seminars, each two hours in duration. The course will introduce various high-throughput technologies, such as microarray and Next Generation Sequence data, for measuring and analyzing gene expression, chromosomal deletions and amplifications, methylation patterns and genome architecture. Further, various algorithms and bioinformatics tools for analyzing the produced high-dimensional data will be discussed. The course begins with couple of introductory lectures in the biology part (Experimental/Technology part - 2 hours duration - no laboratory) followed by presentations on algorithms and data analysis (Bioinformatics part - 2 hours duration). Finally some recently published articles using these technologies will be discussed. At the end of the course, the students will be expected to gain an overview of the current highthroughput technologies and use of associated bioinformatics algorithms and analytical methods. Students will gain experience in genomic data visualization tools to analyze multi -omics data for gene expression, genome rearrangement, somatic mutations and copy number variation. The course will conclude with analyzing and conducting pathway analysis on the resultant cancer gene lists and integration of clinical data.