HackMD
GGG 298 - Week 1
Wednesday Lab Outline - 1/8
- introductions (Titus, Shannon)
- syllabus
- goals of this course
- how this course will differ from GGG 201(b)
- how this course will differ from other courses
- signing up for a farm account
- auditing foo
- BREAK
- our data set & workflow: RNAseq in 15 minutes or less
- practical session - R for data analysis, RMarkdown for presentation of data analysis
- thoughts and questions!
Friday Discussion - 1/10
For this Friday, please skim A preliminary review of influential works in data-driven discovery, Stalzer & Mentzel, 2016.
Homework for Week 2
(Due Friday 1/17 at 11am, entered into this form.)
Please re-read A preliminary review of influential works in data-driven discovery, Stalzer & Mentzel, 2016. Then, submit 3-4 sentences describing either a problem that you tackled with one of the techniques described in this paper, or a problem that you want to tackle.
