Educators:
Malvika Sharan (HD-HuB), Bérénice Batut (RBC)
Date:
May 28-29, 2018
9:00 - 17:00
Location:
University College Dublin, Belfield, Dublin 4, Ireland
Contents:
The aim of Data Carpentry is to enable researchers to learn about the computational skills needed for data management and analysis in all domains of research. This 2-day workshop will consist of hands-on workshop sessions on high-quality, domain-specific training covering the full lifecycle of data-driven research. In this course, we will use genomics dataset as a case-study.
Topics covered include:
- Data organization and cleaning
- Introduction to Unix/Shell
- Data wrangling and pipeline/workflow
- Introduction to R
- Using R, Unix/Shell and cloud for genomics
Learning goals:
This course aims to teach data organization, cleaning and exploration skills to researchers in computational biology who wish to analyze data, and to introduce a toolset that can help them in their work.
Prerequisites:
The target student will know a little bit of command line/programmatic computer usage, but not consider themselves a data expert.
Keywords:
R, Unix, Shell, Workflow
Tools:
R, Unix, Shell
Contact:
Malvika Sharan