Malvika Sharan (HD-HuB), Anna Krystalli, Fotis E. Psomopoulos
4 Soranou Ephessiou St., 115 27 Athens, Greece
The aim of Software Carpentry is to enable researchers to be more productive while producing work of higher quality. This 2-day workshop will teach the key skills required to practice robust computational science effectively and efficiently, and
provide an overview of some of the tools and resources available for modern computational biology.
Topics covered include:
- An introduction to scripting in R, and using the language for scientific applications and biological data handling
- Effective use of the Unix command line
- Version control with git and GitHub
This course aims to teach software writing skills and best practices to researchers in biology who wish to analyze data, and to introduce a toolset that can help them in their work. The goal is to enable them to be more productive and to make their
science better and more reproducible.
The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop. Zero-entry - no experience required or expected! This means that people who are familiar with shell, git and R commands may find the content of this workshops too introductory.
Programming; Bioinformatics; Data Analysis; R; Unix; Git; GitHub;
R; Unix; Git; GitHub; Jupyter notebook;