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Talk
R / Bioconductor for open-source analysis and comprehension of high-throughput genomic data
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DNA-Seq 1: Variant calling
Sequencing -
Week 4: Single-cell RNASeq with 'Orchestrating Single Cell Analysis' in R / Bioconductor
Workshop -
Talk
Challenges and opportunities
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Multiple testing
Statistics and probability -
Working with DNA Sequences
Data Representation -
Google Hangout for New Package Submitters
Best Practices -
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 -
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
Presentation on sparseMatrixStats
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Talk
Orchestrating single cell analysis with Bioconductor
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BioC 2018: Where Software and Biology Connect
Conference -
Appendix: Install IGV
Appendix -
Bioconductor annotations: using and sharing resources
Annotation -
Learn how to use Bioconductor to perform common tasks on your high-throughput sequencing data
Genomics -
RNASeq Analysis
Annotation -
Copy Number
Copy Number -
Talk
Alternate Representations of R Objects or ALTREP
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