Showing 30 materials out of 242
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Bioconductor annotations: using and sharing resources
Annotation -
How Bioconductor advances science and contributes to R
Keynote -
The TCGAbiolinks package
Data Integration -
Developing robust and efficient code
Workshop -
Counting reads for RNA-seq in Bioconductor
RNA-Seq -
500: Effectively using the DelayedArray framework to support the analysis of large datasets
Large data -
Introduction to new package development and submission
Packages -
RNA-Seq 1: differential expression analysis - GLMs and testing
RNA-Seq -
Bioconductor for 'Omics Analysis (University of Rochester Medical Center)
Overview -
Multiple testing
Statistics and probability -
Working with DNA Sequences
Data Representation -
Talk
Browsing and searching the Bioconductor codebase
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Lab 9-1: Efficient and Parallel Evaluation
Big data -
BiocAsia2022 Conference
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Talk
Updates to default caching location
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End-to-end RNA-Seq workflow
RNAseq -
Introduction to High Throughput DNA Sequence Data Analysis Using R / Bioconductor
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Talk
The Bioconductor Project: Current Status
Status -
Variants
Variant calling -
DNA-Seq 2: visualisation and quality assessment of variant calls
Sequencing -
Genomic Ranges For Genome-Scale Data And Annotation
Genomics -
Liftr & sbgr
Workflows -
R and Bioconductor for Genomic Analysis
Intro -
Lab: Performance and Parallel Evaluation
LargeData -
Appendix: Install IGV
Appendix -
Best Practices for Managing R / Bioconductor Scripts
Best Practices -
Talk
Single cell updates
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Data manipulation
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Experimental design
Experimental design -
Large Data
Large Data
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