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Working with gene and genome annotations
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R packages for communicating reproducible research
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Bioconductor annotations: using and sharing resources
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Liftr & sbgr
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Lecture 20-1: Working with Large Data
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How Bioconductor advances science and contributes to R
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The TCGAbiolinks package
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Developing robust and efficient code
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Counting reads for RNA-seq in Bioconductor
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Bioconductor for Genomic Analysis
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Annotating high throughput data using Bioconductor resources
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RNA-Seq 1: differential expression analysis - GLMs and testing
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Bioconductor for 'Omics Analysis (University of Rochester Medical Center)
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Multiple testing
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Working with DNA Sequences
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Week 6: Reproducible research with AnVILPublish
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Talk
Browsing and searching the Bioconductor codebase
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Lab 9-1: Efficient and Parallel Evaluation
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Talk
The Bioconductor Project: Current Status
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Introduction to linear models
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Lab: Performance and Parallel Evaluation
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Introduction to Bioconductor
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Variants
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DNA-Seq 2: visualisation and quality assessment of variant calls
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Genomic Ranges For Genome-Scale Data And Annotation
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Liftr & sbgr
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R and Bioconductor for Genomic Analysis
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Appendix: Install IGV
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Best Practices for Managing R / Bioconductor Scripts
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Lab: Plotting Regions from BAM files directly
Activity log