Monthly Archives: April 2019

Post Conference Reflections: Bay Area Microbial Pathogenesis Symposium

Contributed by Darwin Bandoy DVM I presented a poster at BAMPS (Bay Area Microbial Pathogenesis Symposium) with my work on using machine learning bacterial genome-wide association study. First of all, it was radically different as most posters focus on defining a mechanism for a single gene, while my work is about extracting insights from population-scale […]

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Analyzing RNAseq Data with DESeq2

Contributed by Shawn Higdon RNA sequencing experiments are extremely powerful in terms of the amount of information that is capable of being revealed for a given experimental system. While performing these experiments demands passing through several hurdles in the lab that require a high degree of technical skill, careful planning, and seemingly flawless execution, analyzing […]

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