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Monday, June 22

Morning talks

  • pdf Introduction to R and Bioconductor
  • pdf Basics of high-throughput sequencing technologies and short read aligners
  • pdf Elements of statistics 1: t-test and linear model
  • pdf Elements of statistics 2: multiple testing, false discovery rates, independent filtering

Afternoon labs

  • zip R introduction/refresher: data types, reading and writing files and spreadsheets, plotting, programming, functions and packages.

  • pdf R Exploratory data analysis and visualization (pdf solutions)

  • html R Intermediate R 1: accessing resources - packages, classes, methods, and efficient code. Download IntermediateR1_1.0.0.tar.gz and install as:

    source("http://bioconductor.org/biocLite.R")
    biocLite(c("IRanges", "GenomicRanges", "microbenchmark"))
    install.packages("IntermediateR1_1.0.0.tar.gz", repos=NULL, type="source")
    
  • pdf R Intermediate R 2: scalable / performant computing. (Large files needed for some of this lab are NOT available for download). Download CSAMA2014ScalableComputingLab_0.0.1.tar.gz and install as:

    source("http://bioconductor.org/biocLite.R")
    biocLite(c("IRanges", "GenomicRanges", "Rsamtools", "ShortRead", 
        "rtracklayer", "GenomicAlignments", "GEOquery", "microbenchmark",
        "BiocParallel", "ggbio", "Biobase", "GenomicFiles"))
    install.packages("CSAMA2014ScalableComputingLab_0.0.1.tar.gz",
        repos=NULL, type="source")
    

Tuesday

Morning talks

  • pdf RNA-Seq 1: differential expression analysis - GLMs and testing
  • RNA-Seq 2: shrinkage, empirical Bayes, FC estimation
  • pdf Visualisation
  • pdf Computing with genomic ranges, sequences and alignments

Afternoon labs

Wednesday

Morning talks

  • pdf DNA-Seq 1: Variant calling
  • pdf DNA-Seq 2: visualisation and quality assessment of variant calls
  • pdf Gene set enrichment analysis
  • pdf R Working with gene and genome annotations

Afternoon labs

Thursday

Morning talks

  • pdf RNA-Seq 3: alternative exon usage
  • html Elements of statistics 3: Classification and clustering - basic concepts
  • pdf Elements of statistics 4: regularisation & kernels
  • pdf R ChIP-Seq

Afternoon labs

  • pdf R Working with the Ranges infrastructure: annotating and understanding regions

Friday

Morning talks

  • pdf Elements of statistics 5: experimental design
  • pdf eQTL / molecular-QTL analyses
  • pdf Proteomics
  • Emerging topic -- pdf image analysis

Afternoon labs