Showing 30 materials out of 242
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Introduction to RNA-Seq data analysis
RNA-Seq -
How Bioconductor advances science and contributes to R
Keynote -
Bioconductor for Genomic Analysis
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R packages for communicating reproducible research
Workshop -
Talk
Ontology issues
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Talk
Presentation on AnVIL
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Talk
The Bioconductor Project: Current Status
Status -
Lab: Performance and Parallel Evaluation
LargeData -
RNA-seq data analysis and differential expression
RNAseq -
Working with Large Data
Large Data -
BioC 2018: Where Software and Biology Connect
Conference -
Lab: Phyloseq Basic Usage for Metagenomics
Metagenomics -
Hello Ranges: An Introduction to Analyzing Genomic Ranges in R
Genomics -
Resampling methods
Statistics and probability -
Talk
Quantifying and lightening the package dependency burden
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Talk
Developments in rhdf5
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The TCGAbiolinks package
Data Integration -
Reproducible Research
Reproducibility -
CSAMA: Statistical Data Analysis for Genome Scale Biology
Course -
Workshops
Conference -
Multiple testing
Statistics and probability -
Working with DNA Sequences
Data Representation -
Introduction to Bioconductor
Bioconductor -
Managing big biological sequence data with Biostrings and DECIPHER
Sequence Analysis -
Bioconductor for 'Omics Analysis (University of Rochester Medical Center)
Overview -
Lecture: Epigenetics and ChIP-Seq
ChIP-seq -
Genomic Ranges For Genome-Scale Data And Annotation
Genomics -
Liftr & sbgr
Workflows -
Talk
Single cell updates
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Bioc2023
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