---
tags: ggg, ggg2020, ggg298
---
# GGG 298 - Week 1
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## Wednesday Lab Outline - 1/8
* introductions (Titus, Shannon)
* [syllabus](https://hackmd.io/3bDesjZaTVSiEzEueSGlDQ?view)
* 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](https://github.com/dib-lab/dib_rotation/blob/master/01_farm_account.md)
* auditing foo
* BREAK
* our data set & workflow: RNAseq in 15 minutes or less
* [practical session](https://hackmd.io/kXHoB6g4R92OIOwoNR2vkg) - 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](https://springerplus.springeropen.com/articles/10.1186/s40064-016-2888-8), Stalzer & Mentzel, 2016.
## Homework for Week 2
(Due Friday 1/17 at 11am, entered into [this form](https://docs.google.com/forms/d/e/1FAIpQLSfYEV2hp3Ejl9qNpI_CX9th9uQgY_Un8S6Tnt2UHLlSogdBPQ/viewform).)
Please re-read [A preliminary review of influential works in data-driven discovery](https://springerplus.springeropen.com/articles/10.1186/s40064-016-2888-8), 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.