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##Tomato Interns Bioinformatics Week

Scripts, outline, and course material for teaching tomato interns.

Meeting times and locations

Week of July 29, 2013

  • Monday 2:00 - 5:00 LS3002
  • Tuesday 2:00 - 5:00 LS3002
  • Wednesday 2:00 - 5:00 LS2002
  • Thursday 1:00 - 4:00 LS2002
  • Friday 2:00 - 5:00 LS2002

##Outline

Day 1: Intro to Atmosphere and Unix (MFC)

  • what is atmosphere?
  • starting an instance
  • connecting to your instance
    • vnc
    • ssh
  • idrop
    • move fastq files and other files to play with
  • Terminal
    • commands at the terminal
      • idea is to define some useful commands and then give them some tasks
      • be sure to introduce the commands that they will use in examining fastq files...
        • ls
        • cd
        • pwd
        • cp
        • mv
        • mv -i
        • mkdir
        • rm
        • rmdir
        • cat
        • head, tail
        • less
        • pico or equivalent
        • grep
          • possibly with some regex (simple!)
        • pipes
        • man
  • Looking at fastq files (applying was learned)
    • use head, tail, etc to examine fastq files
      • examine fastq file: have students describe how they appear to be organized
    • exercises with grep and wc, e.g. number of reads
    • grep -c

Day 2: Processing fastq files (MFC)

  • Questions/ starting problem set:
    • create a new directory in /mydata
    • navigate to directory in iRods with sequence files
    • how many files are in the directory?
    • download your desiganated file to the new directory in /mydata
    • What is the machine name that the sequences come from?
    • How many lines are in the file?
    • How many sequence records are in the file?
    • create a new file that contains 1,000,000 records from the file you downloaded
  • What files do we actually get back from the sequencing facility
  • QualityCheck
    • go through FastQC, what the differenet measures mean, etc
    • Phred scores
  • BarcodeSplit
    • new QC
  • Trimming / filtering
    • new QC
  • Mapping to reference
    • BWA to ITAGs
    • tophat to genome
  • Stats for mapping:
    • how many ready mapped?

Day 3: Visualization

  • IGV (MFC)
    • can you find genes that appear up-regulated?
      • think about normalization
    • places where the data doesn't seem to match the annotation
  • Sam2Counts.R (JNM)
  • Histograms of read counts (R) (JNM)

Day 4: Differential Expression (JNM)

  • normalization
  • what does differential expression mean?
  • the idea of a linear model
  • 1 way comparison
  • 2 way comparisons
  • 2 way comparisons (with interactions!)

Day 5 (JNM)

  • What do you do with these results?
  • GO category enrichment
  • plotting particular genes of interest
  • what would the follow up experiments be?