Showing 30 materials out of 242
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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 -
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 -
Lab: Plotting Regions from BAM files directly
Variant calling -
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 -
RNA-Seq
RNA-Seq -
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 -
CSAMA: Statistical Data Analysis for Genome Scale Biology
Course -
Talk
Continuous integration with Github Actions
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R and Bioconductor for Genomic Analysis
Intro -
Talk
Single cell updates
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Large Data
Large Data -
Appendix: Install IGV
Appendix -
Lecture: Computing with sequences and genomic intervals
GenomicRanges -
Best Practices for Managing R / Bioconductor Scripts
Best Practices -
Week 4: Single-cell RNASeq with 'Orchestrating Single Cell Analysis' in R / Bioconductor
Workshop -
Talk
BiocCheck-a-thon check in
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Week 1: Using R / Bioconductor in AnVIL
Workshop -
Experimental design
Experimental design
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