Details and goals about the course
The course is organised by IPSP Bioinformatic group (I-BiG). I-BiG develops and teaches courses on the fundamental data skills needed to conduct biological researches. Its target audience is researchers who have little to no prior computational experience. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Who: The course is aimed at biological researchers. You need to have basic knowledge of R.
Where: This course will take place online. The instructor will provide you with the information you will need to connect to this meeting.
When: ???. Add to your Google Calendar.
Requirements: Participants must a desktop/laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a specific software installed: R (at least 4.0).
Accessibility: I-BiG is dedicated to providing a positive and accessible learning environment for all.
Contact: Please email marco.chiapello (at) ipsp.cnr.it for more information.
Code of Conduct (borrowed from The Carpentries)
We are dedicated to providing a welcoming and supportive environment for all people, regardless of background or identity. By participating in this community, participants accept to abide by The Carpentries’ Code of Conduct and accept the procedures by which any Code of Conduct incidents are resolved. Any form of behaviour to exclude, intimidate, or cause discomfort is a violation of the Code of Conduct. In order to foster a positive and professional learning environment we encourage the following kinds of behaviours in all platforms and events:
Use welcoming and inclusive language
Be respectful of different viewpoints and experiences
Gracefully accept constructive criticism
Focus on what is best for the community
Show courtesy and respect towards other community members
Data reshaping - Data join
Functions
For loops
map functions (purrr package)
Rmarkdown (data reporting)
Alberi filogenetici
Advance visualization