Global Certificate in Genomics Data Analysis for Innovation
-- ViewingNowThe Global Certificate in Genomics Data Analysis for Innovation is a comprehensive course designed to equip learners with essential skills in genomics data analysis. This certification program is crucial in today's bioinformatics and genomic industry, where the demand for professionals who can interpret and analyze genomic data is rapidly growing.
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โข Introduction to Genomics Data Analysis: definitions, history, and importance
โข Genomic Data Types and Formats: DNA, RNA, and protein data; sequence alignments, genome assemblies, and variant calls
โข Statistical Analysis in Genomics: descriptive and inferential statistics, hypothesis testing, p-values, and multiple testing correction
โข Genomic Data Visualization: data visualization principles, genome browsers, and custom plotting
โข Genomic Machine Learning: machine learning concepts, supervised and unsupervised learning, and feature selection
โข Genome-wide Association Studies (GWAS): principles, study design, quality control, and statistical analysis
โข RNA-seq Data Analysis: data preprocessing, alignment, quantification, and differential expression analysis
โข Epigenomics Data Analysis: DNA methylation, histone modifications, and chromatin accessibility analysis
โข Population Genomics: population structure, genetic diversity, and natural selection
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