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Bioconductor for Genomic Data Science (Coursera)

Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.
3
Average: 3 ( 3 votes )

Case Studies in Functional Genomics (edX)

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor. We will explain how to perform the standard processing and normalization steps, starting with raw data, to get to the point where one can investigate relevant biological questions. [...]
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Advanced Bioconductor (edX)

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data. In this course, we begin with approaches to visualization of genome-scale data, and provide tools to build interactive graphical interfaces to speed discovery and interpretation. Using knitr and rmarkdown as basic authoring [...]
10
Average: 10 ( 2 votes )

Data Analysis for Life Sciences 4: High-Dimensional Data Analysis (edX)

A focus on several techniques that are widely used in the analysis of high-dimensional data.
9
Average: 9 ( 1 vote )

Case study: DNA methylation data analysis (edX)

Basic workflow for analyzing DNA methylation data. The course is running Self-Paced through September 15th, 2015.
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