Comments: Michelle.Brazas@oicr.on.ca

[jvwong]

Ontario Molecular Pathology Research Network was identified as a potential audience for pathway workflows: Survey results implied a need for this type of bioinformatic analysis; geographically distributed group who do not have time to travel to courses or get together often. Strategically may consider as a 'province-wide' beta-testing group which could be basis of national and beyond. They may have 'different' types of data sets and in the midst of developing a bioinformatic support infrastructure.

Tips for workflow

• Ensure that users can see their data and scientific problem in the data sets used
  • Provide several scenarios for a given workflow, each different in a nuanced way
  • Provide additional data sets at the end of a workflow to reinforce learning

Bioinformatics.ca

• get surveys from classes for insight into needs and issues

Education

• Adult learning
  • Facilitation
  • Needs assessment
  • Evaluation
• PLoS series in 'Ten Simple Rules'

[jvwong]

Review comments from Bioinformatics.ca Pathway Workshop (2012 - 2016)

• Non-human or mouse data examples
  • prokaryotes?
  • Differences may be related to ID mapping
• Publication quality images
• Summary of tools to analyze expression and create gene lists
• Data types
  • Interaction
  • Proteomics data
• Analyzing own user data
  • Commons request was more time for labs
  • This was repeated many times and may argue for a 'Use your own data' workshop rather than one aimed at using the given data. This is tricky with data munging and ID mapping. App? Ask them before hand?
  • Use the instructors to guide
  • Personal and guided but obviously this doesn't scale
• Explanation for selecting options in software