• An intensive introduction to computational skills and a survey of modern computational theory and approaches for the manipulation and analysis of genomic data in environmental and non-model systems. Designed to synthesize theory (both biological and computational) and programming to equip students with the ability to understand and carry out hypothesis testing with genomic data. Topics include: introduction to programming and biological algorithms; genomic and transcriptomic data; environmental metagenomics; intraspecific diversity; and best practices in data science and reproducibility.

• Textbook Information

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