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- Advanced R / Bioconductor Workshop on High-Throughput Genetic Analysis
Advanced R / Bioconductor Workshop on High-Throughput Genetic Analysis
Seattle, USA
2012-02-27 ~ 2012-02-28
Instructors
- Martin Morgan
- Hervé Pagès
- Marc Carlson
- Valerie Obenchain
- Vince Carey
- Aedin Culhane
- Sean Davis
- Thomas Girke
- Michael Lawrence
- Steve Lianoglou
Description
The Advanced R / Bioconductor Workshop on High-Throughput Genetic Analysis is a unique combination of expert practitioners and advanced students working together to explore statistical and bioinformatic issues in analysis of high throughput genomic data.
Materials
Data Structures and Packages for Reproducible High-throughput Analysis
1. Introduction
2. A Generalized Interface for Annotations
3. High-level S4 Containers for HTS Data
4. Annotation of Genetic Variants
ChIP-Seq Analysis with R and Bioconductor
Isoform-specific RNA-seq
Run the following R code to install the dependencies for this package:
source("http://www.tengfei.name/projects/ggbio/utils/installer.R")
Genetics of Expression and the Implementation of Very High Throughput Statistical Test Procedures
Accomplishing Exome Sequencing Data Tasks with Bioconductor
Machine Learning for Next-Generation Sequence Analysis
Biclustering and Analysis of Large Gene Sets
Packages »
Bioconductor's stable, semi-annual release:
- Analysis software packages.
- Annotation packages.
- Illustrative experiment data packages.
- Workflow packages.
- Online books.
- Latest release announcement.
Bioconductor is also available viaDocker Images and for use in the AnVIL.
Documentation »
Bioconductor
- Package vignettes and manuals.
- Workflows for learning and use.
- Several online books for comprehensive coverage of a particular research field, biological question, or technology.
- Course and conference material.
- Videos.
- Community resources and tutorials.
R / CRAN packages and documentation
