Showing 30 materials out of 242
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Counting reads for RNA-seq in Bioconductor
RNA-Seq -
Multiple testing
Statistics and probability -
Working with DNA Sequences
Data Representation -
Lab 1: Introduction to R and Bioconductor
introduction -
Talk
New Bioconductor packages for HCA Analysis
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Lecture 20-1: Working with Large Data
Big data -
500: Effectively using the DelayedArray framework to support the analysis of large datasets
Large data -
Lab 9-1: Efficient and Parallel Evaluation
Big data -
Gene set enrichment - Introduction
Gene-set enrichment analysis -
Talk
Browsing and searching the Bioconductor codebase
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Developing robust and efficient code
Workshop -
Liftr & sbgr
Workflows -
Talk
Say Hello to ALTREP
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Talk
Compiling the OSCA book on the Bioconductor build system
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06: Gene Set Enrichment -- Introduction
Intro -
Talk
R / Bioconductor for open-source analysis and comprehension of high-throughput genomic data
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RNA-Seq Differential Expression
RNA-Seq -
Learn how to use Bioconductor to perform common tasks on your high-throughput sequencing data
Genomics -
Working with Large Data
Large Data -
Analysis of RNA-Seq Data
RNA-Seq -
Lab: Performance and Parallel Evaluation
LargeData -
Appendix: Install IGV
Appendix -
Bioconductor annotations: using and sharing resources
Annotation -
Gene set enrichment analysis
Gene-set enrichment analysis -
Trends in Genomic Data Analysis in R
R/Bioconductor -
eQTL / molecular-QTL analyses
eQTL / molecular-QTL -
Workshops
Conference -
Experimental design
Experimental design -
Bioconductor
R/Bioconductor -
Multiple testing
Statistics and probability
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