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Combine biology, computer science, and information technology to understand biological data, particularly large datasets.

Delve into the comprehensive study of whole genomes and how they function, interact, and evolve.

Study the complete set of RNA transcripts produced by the genome, under specific circumstances or in a specific cell.

Unlock the potential of data-driven insights and predictive analytics through self-improving algorithms and artificial intelligence.

Harness Python programming to analyze and interpret complex biological data from 'omics sciences.

Master the use of R for statistical computing and graphics in the analysis of omics data.

Investigate genetic material recovered directly from environmental samples to understand the complex mix of microorganisms.

Apply informational techniques to solve chemical problems, with a focus on drug discovery and molecular analysis.

Examine the sequences of RNA from individual cells to understand cellular diversity and function.

Explore the dynamic chemical modifications of the genome that influence gene expression without altering the DNA sequence.

Essential Linux skills for bioinformatics: file management, script execution, and command-line navigation for omics data processing

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