The program is designed to introduce students, clinicians and researchers to the role and the applications of Genomic Data Analysis to study genomic variation and apply genomics in translational sciences to improve diagnostic accuracy, predict which drugs are likely to be effective in patients, and contribute to the monitoring, treatment and diseases in individuals and populations. After the first introductory lectures, participants will have the opportunity to get guidance and work on curated datasets or develop independent projects that leverage the tools and concepts covered in this program. Learn to map the mutations to known 3D structures and learn about the impact on the structure, function and behavior. Also get hands-on practice with genomics (alignment, characterization of mutations, haplotypes, relationship between sequence and structure, evolution).

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Our channel is about bioinformatics and its application to various biomedical and biotechnology challenges. We cover lots of cool topics on data analysis, machine learning and various technologies that generate high-throughput data like genomics, transcriptomics, metagenomics, epigenomics and others.

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