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Working with gene and genome annotations
Annotation -
Talk
Testing R Packages
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R packages for communicating reproducible research
Workshop -
Counting reads for RNA-seq in Bioconductor
RNA-Seq -
Bioconductor annotations: using and sharing resources
Annotation -
Liftr & sbgr
Workflows -
Developing robust and efficient code
Workshop -
Annotating high throughput data using Bioconductor resources
Annotation -
The TCGAbiolinks package
Data Integration -
Talk
State of PCA
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Bioconductor for 'Omics Analysis (University of Rochester Medical Center)
Overview -
Multiple testing
Statistics and probability -
Working with DNA Sequences
Data Representation -
Genomic Ranges For Genome-Scale Data And Annotation
Genomics -
Liftr & sbgr
Workflows -
An RNA-seq work flow
RNAseq -
Talk
Single cell updates
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Experimental design
Experimental design -
Appendix: Install IGV
Appendix -
Lecture: Computing with sequences and genomic intervals
GenomicRanges -
Best Practices for Managing R / Bioconductor Scripts
Best Practices -
RNA-Seq 1: differential expression analysis - GLMs and testing
RNA-Seq -
Reproducible Research
Reproducibility -
Bioconductor
R/Bioconductor -
Talk
BiocCheck-a-thon check in
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500: Effectively using the DelayedArray framework to support the analysis of large datasets
Large data -
250: Working with genomic data in R with the DECIPHER package
Genomic data -
Lecture: Basics of sequence alignment and aligners
Technology -
Talk
Conducting Genomic Symphonies with Bioconductor
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Working with Annotations
Visualisation
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