Bioconductor for Genomics
This course will introduce you to the basic data structures and genomic data analysis in Bioconductor. Specifically, we will focus on the basics of RNAseq analysis, including differential expression, annotation, and gene set analysis. We will also focus on loading data and metadata into data structures such as SummarizedExperiment. By the end of this course, you should be familiar with a basic RNAseq analysis workflow utilizing RNAseq count data.
- Type Learning
- Level Intermediate
- Time Weeks
- Cost Free
Skills
Earning Criteria
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Explain and Utilize Bioconductor data structures such as SummarizedExperiment to integrate metadata and assay data in your analysis
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Explore, QC, and clean a RNAseq dataset
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Utilize Differential Expression analysis on an RNAseq dataset using Bioconductor Packages
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Identify and Annotate Gene Sets for downstream analysis
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Load data from RNAseq experiments into Bioconductor