Training materials
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04: Practical: Organizing data with SummarizedExperiment
Intro
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03: Core approaches in Bioconductor
Intro
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02: Practical: R / Bioconductor and Reproducible Research
Intro
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01: Introduction to R and Bioconductor
Intro
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Developing robust and efficient code
Workshop
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Talk
R / Bioconductor for open-source analysis and comprehension of high-throughput genomic data
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Working with Ranges infrastructure: annotating and understanding regions
Annotation
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ChIP-seq Analysis
ChIP-seq
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Work flows : RNA-Seq
RNA-Seq
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Best Practices for Managing R / Bioconductor Scripts
Best Practices