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I’m developing a survey instrument that I can use to assess bioinformatics training needs at UC Davis, with a particular emphasis on practical sequencing data analysis. (Please see my blog post on training for more information and background.)
A few notes –
Below is my list so far. I welcome comments, additions, and critiques! The live site is at http://ngs-training-needs-survey.rtfd.org/.
Please feel free to copy, fork, and modify freely - the source for this is on github at https://github.com/ngs-docs/ngs-training-needs-survey.
What bioinformatics software/programs are you using right now?
What compute resources are you using, if any?
What scripting or programming languages are you using, if any?
What do you feel is your major bioinformatics or sequence analysis-related obstacle, i.e. what is getting in the way of doing your data analysis?
There are a lot of necessary skills for doing data intensive biology. How do you teach them all, and in what order?
Here’s a set of tiers of training for an intro class or course in next-gen sequence analysis; feedback welcome!
My teaching philosophy is to try to motivate later topics by first introducing the concepts in a useful workflow, and then diving deeper into the topics once they’ve been motivated. So the approach is to start with the minimum necessary to get something done, and then explain it in more detail after the first pass.
Except for the second tier, completion of all of the topics in one tier would be necessary to move on to the next. For the second tier, completion of at least one topic would be needed to move on to the next tier.
(You can also download a PDF by clicking on the image.)
(Long term goals of training.)
The workshops will, in the long term, enable students to:
(Thanks to Tracy Teal for comments on this.)
Also see:
https://twitter.com/JasonWilliamsNY/status/544853305017765888 (Jason Williams)
https://twitter.com/Vaguery/status/544847281124835328 (Bill Tozier)