This workshop is finished. We used to meet every Tuesday at the Math Department computer laboratory between February and June 2015. After that date, the workshop become the course “Computing in Molecular Biology”
An Introduction to R language and Data Science
This workshop is was oriented mainly to graduate students
from Molecular Biology and Genetics Department, but can did
include other people if they show a strong motivation and a good
project.
The idea is to help each one to solve some specific scientific problems involving data, graphs or statistics. We will move from raw data up to publication quality graphs. If we are lucky we may even write a paper draft.
Each session will have two of three people presenting their problems1 and how they currently handle them. We will discuss together some ideas on how to improve the solution and lern new tools in the process. We encourage the creative participation of the students (and the professor).
The language of the seminar is English2. Every student should bring his/her computer and have RStudio installed.
Subjects
We will explore subjects guided by the needs of the participants, mainly around R language, but not limited to it. We probably will also learn about
- Making graphics for publication
- Making replicable data analysis documents
- Data clustering methods
- Understanding biological networks
- Statistical significance tests
- Handling data files and understanding formats
- Collaboration using
githubplatform
We may also learn a bit of Python, if needed. And we will make graphics like these
You can get a copy of our fancy poster to share with your friends.
Teacher
Andrés Aravena
- Mathematica Engineer
- PhD Informatics, U Rennes 1, France
- PhD Mathematical Modeling, U. de Chile
- Former chief engineer on the main bioinformatic group in Chile (2003-1014).