Data modeling and interpretation in programs such as R, Python, SAS.
Identifying appropriate statistical study design, and research data to support the hypothesis of the research study.
Analyzing biological datasets, including genomics and metagenomics; incorporating metagenomics pipelines in data analysis; genomic sequence mapping to reference genomes.
Summary of 100,000+ by 100+ data sets through informative summary statistics.
Creating visually compelling and insightful graphics, charts, and plots to communicate complex data effectively.
Regression, z-tests, t-tests, ANOVA, Principal Component Analysis, Ch-square, experimental study designs, computational statistics, sample size calculations, metagenomics, multivariate analysis.
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