Professional Certificate in NGS Biostatistics
-- ViewingNowThe Professional Certificate in NGS Biostatistics is a comprehensive course designed to equip learners with the essential skills to analyze and interpret next-generation sequencing (NGS) data. This course is critical for professionals working in genetics, genomics, and biotechnology industries, where NGS data analysis has become increasingly important.
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โข Introduction to NGS Biostatistics: Overview of Next-Generation Sequencing (NGS) and its applications, the role of biostatistics in NGS data analysis, and fundamental concepts in biostatistics.
โข Data Pre-processing: Quality control, data cleaning, and normalization techniques specific to NGS data analysis.
โข Differential Expression Analysis: Methods for identifying differentially expressed genes or genomic regions, including edgeR, DESeq2, and limma.
โข Pathway Analysis: Techniques for interpreting differentially expressed genes in the context of biological pathways, using tools such as DAVID and g:Profiler.
โข Variance Component Analysis: Methods for estimating the contribution of different sources of variation in NGS experiments, such as batch effects, sequencing errors, and biological variability.
โข Population Genetics and Genome-wide Association Studies (GWAS): Theoretical background and practical applications of population genetics, as well as techniques for conducting GWAS using NGS data.
โข Copy Number Variation (CNV) Analysis: Methods for detecting and quantifying CNVs, including segmentation algorithms and statistical models.
โข Epigenetics and Methylation Analysis: Overview of epigenetic modifications and their role in gene regulation, as well as techniques for analyzing DNA methylation data.
โข Data Visualization and Communication: Best practices for visualizing NGS data and communicating the results to a broader audience.
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