Showing 30 materials out of 242
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Genetics of gene expression: computation and integrative prediction
eQTL -
Talk
Bioconductor updates and directions
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RNA-seq data analysis and differential expression
RNAseq -
Talk
State of PCA
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Multiple testing
Statistics and probability -
Working with DNA Sequences
Data Representation -
New RNA-seq workflows
RNAseq -
End-to-end RNA-Seq workflow
RNAseq -
Counting Reads And Working With Large Files
Large Data -
Gene set enrichment - Introduction
Gene-set enrichment analysis -
Talk
Release schedule discussion
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Talk
Alternate Representations of R Objects or ALTREP
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Talk
Introduction
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Integrated pathway analysis of multiple omics datasets
Pathway -
Lecture 19: Gene Set Enrichment Analysis
GSEA -
Introduction to R
R -
Bioconductor Masterclass: Package Development
Devel -
Graphics
Graphics -
Liftr & sbgr
Workflows -
Reproducible Research
Reproducibility -
500: Effectively using the DelayedArray framework to support the analysis of large datasets
Large data -
Talk
Spatial Transcriptomics Technologies and Analysis Tools
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Lecture 20-1: Working with Large Data
Big data -
Lab: Performance and Parallel Evaluation
LargeData -
Sequence Data Representation
Data Representation -
Variant calling with Bioconductor
Variant calling -
Elements of statistics 5: experimental design
Statistics and probability -
Analysis of RNA-Seq using the DESeq2 package
RNA-Seq -
Data manipulation
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Bioconductor annotations: using and sharing resources
Annotation
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