这是bioconductor 2010 会议的培训教程相关的文件。内容几乎涵盖了主流生物信息操作的所有内容：

http://www.bioconductor.org/help/course-materials/2010/BioC2010/
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Introduction to R

• Introduction to R
• First Steps with R
• Getting Started with Lattice

Install command:

source("http://bioconductor.org/course-packages/install-HTSTrack.R")

Efficient R Programming

• Efficient R Programming
• Efficient R Programming Exercises

Install command:

source("http://bioconductor.org/course-packages/install-EfficientR.R")

Transcript centric annotations and high-throughput sequencing

• Using the GenomicFeatures package
• Genomic Features and Sequences in Bioconductor

Install command:

source("http://bioconductor.org/course-packages/install-HTSTrack.R")

Bioconductor tools for input and quality assessment of high-throughput sequence data

• Four exercises using Bioconductor Sequence Infrastructure
• Exercises: Reading and Manipulating Short Reads
• Exercises: An Introduction to Rsamtools
• Exercises: A Simple ChIP-Seq Workflow
• Exercises: A Simple RNA-seq Use Case

Install command:

source("http://bioconductor.org/course-packages/install-HTSTrack.R")

Analyzing and Visualizing ChIP-seq Data

• Some Basic Analysis of ChIP-Seq Data

Analysis of genome-scale count data in Bioconductor

• Robinson_McCarthy_BioC2010.zip

Gene centric annotations

• Using Annotations in Bioconductor

Install command:

source("http://bioconductor.org/course-packages/install-HTSTrack.R")

Analyzing flow cytometry data in Bioconductor

• Brief Intro to R for Flow Packages Users
• Analyzing flow cytometry data in Bioconductor
• Flow cytometry analysis Lab
• Flow cytometry analysis Lab Solutions
• Automated Gating and Metaclustering for Flow Cytometry Data
• Automated Gating and Metaclustering for Flow Cytometry Data (white paper)

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