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Week 4: Single-cell RNASeq with 'Orchestrating Single Cell Analysis' in R / Bioconductor
Workshop -
Talk
New builder update
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Talk
Challenges and opportunities
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Talk
Introduction to DataFrames and the impact of recent changes
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03: Core approaches in Bioconductor
Intro -
Multiple testing
Statistics and probability -
Working with DNA Sequences
Data Representation -
Talk
R / Bioconductor for open-source analysis and comprehension of high-throughput genomic data
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Talk
The Bioconductor Project: Current Status
Status -
Workshop: RNASeq
RNA-Seq -
Google Hangout for New Package Submitters
Best Practices -
Talk
How to advance science using Bioconductor
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Hello Ranges: An Introduction to Analyzing Genomic Ranges in R
Genomics -
Lecture: Introduction to MS based proteomics and Bioconductor infrastructure
Proteomics -
Counting reads for RNA-seq in Bioconductor
RNA-Seq -
Talk
New Bioconductor packages for HCA Analysis
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Lecture 20-1: Working with Large Data
Big data -
Gene set enrichment - Introduction
Gene-set enrichment analysis -
R packages for communicating reproducible research
Workshop -
China R Conference: Bioconductor for high-throughput genetic data
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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 -
ChIP-seq with csaw
ChIP-seq -
Liftr & sbgr
Workflows -
Talk
Discussion: Guidelines for submitting data to ExperimentHub
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Appendix: Install IGV
Appendix
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