Data Analysis for Genomics

Harvard University via edX Professional Certificate

edX Professional Certificate based on 0 ratings

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Overview

This course focuses on the application of data analysis techniques to genomic data. Learners will explore bioinformatics tools and methodologies used to process and analyze genetic sequences, gene expression data, and other biological information. The course covers data cleaning, visualization, and statistical analysis of genomic data, with an emphasis on using Python and R for bioinformatics. Students will also learn how to interpret results in the context of genetic research and personalized medicine. Ideal for students in biology, bioinformatics, and...

Syllabus

Courses under this program:Course 1: Introduction to BioconductorThe structure, annotation, normalization, and interpretation of genome scale assays.Course 2: Case Studies in Functional GenomicsPerform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.Course 3: Advanced BioconductorLearn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.