Showing 30 materials out of 242
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Talk
Bioconductor updates and directions
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RNA-seq data analysis and differential expression
RNAseq -
R / Bioconductor packages for Proteomics
Proteomics -
Multiple testing
Statistics and probability -
Working with DNA Sequences
Data Representation -
Gene set enrichment - Introduction
Gene-set enrichment analysis -
Working with gene and genome annotations
Annotation -
RNA-Seq Differential Expression
RNA-Seq -
Talk
Q&A about upcoming release
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Lecture 1: Introduction to R and Bioconductor
introduction -
Bioconductor Masterclass: Package Development
Devel -
Introduction to R
R -
Graphics
Graphics -
Liftr & sbgr
Workflows -
06: Gene Set Enrichment Analysis
Intro -
Appendix: Install IGV
Appendix -
Lab: Plotting Regions from BAM files directly
Variant calling -
Meta-analysis
Statistics and probability -
Lab: Reproducible Research and R Authoring with markdown and knitr
ReproducibleResearch -
ChIP-Seq for Understanding Gene Regulation
ChIP-seq -
Google Hangout for New Package Submitters
Best Practices -
DNA-Seq 1: Variant calling
Sequencing -
Talk
Bioc vs. CRAN build systems
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Talk
Surprises from scalable container and cloud-based R / Bioconductor deployments
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Introduction to Bayesian Inference using Stan with Applications to Cancer Genomics
Statistics and probability -
Talk
Introduction
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Analyzing splice events from RNA-seq data with SGSeq
RNA-Seq -
ChIP-seq with csaw
ChIP-seq -
Counting reads for RNA-seq in Bioconductor
RNA-Seq -
DNA-Seq 2: visualisation and quality assessment of variant calls
Sequencing
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