Difference between revisions of "Rosaceae"

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Time schedule: 8:30 - 10:30am, 11-12:30am (3.5 hours)
 
Time schedule: 8:30 - 10:30am, 11-12:30am (3.5 hours)
 
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; TODO - Split and linkify article
 
 
= Workflow =
 
= Workflow =
 
;#[[Introduction to Microarray analysis]] (''10mins - Marcus Davy'')  
 
;#[[Introduction to Microarray analysis]] (''10mins - Marcus Davy'')  
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====Scratch pad====
 
* A flow diagram for analysis
 
* Recap of cDNA microarrays (slide 3)
 
*Microarray data issues (slide 4)
 
*Microarray data issues (continued)
 
**Large amount of data (GPR/JPEG file size)
 
**Subjective
 
** Need a log of what was done so someone else can quickly reroduce the results
 
** → Reproducible research (someone else can understand/reproduce the results) (McGintys talk)
 
*Analysis process
 
 
* R resources/contributed guides (including downloading)
 
* R tutorial of basics (objects/indexing/functions)
 
 
[[Category:Sven/Rosaceae]]
 
[[Category:Sven/Rosaceae]]

Revision as of 20:37, 13 March 2006

Microarray analysis workshop

Time schedule: 8:30 - 10:30am, 11-12:30am (3.5 hours)


Workflow

  1. Introduction to Microarray analysis (10mins - Marcus Davy)
  2. Normalization (10mins - Robert Schaffer)
  3. Bioconductor/R framework (15 mins - Marcus Davy
  4. R Lab Tutorial (45mins)
  5. Linear models for Microarray analysis (limma) (15 mins - Marcus Davy)
  6. Experimental analysis ("45mins")

+Bioconductor/R framework

+R tasklist

    • tasks available from web which utilze example data available in R - object assignment, subsetting, plotting, mathematical functions, sorting etc (20 tasks?)
  • Usage/interaction within environment
  • Bioconductor resources/vignettes(including downloading)
  • Bioconductor basics (any resources for limma out there?)
Brief about Limma (10-15 mins)
  • Essentially t-statistics for each spot/gene
  • Uses between gene information in moderated t-statistics
  • Computationally fast/robust
  • Handles missing information/use defined flag information
  • benefits/limitations?
  • FDR control? → ranking better than selecting cutoff
Analysis script (1+hours)

+Workshop.R