Description
Bioinformatics analyses require skills that include extensive database management, query and analysing these data. Learning to code is a key skill in this field; there are different coding languages and here we will explore R.
Just remember that once you learn one coding language, the skills are transferable, also learning to code is similar to learn a new language, there is a learning curve so be gentle. In this short session we will see the basis of coding in R, so that you can hopefully, continue the learning process after this experience.
Why R?
R is a freely distributed and widely used programing language and environment for statistical computing, data analysis and graphics. It is open source , widely-used and powerful programming language.
RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace managemen.
Details
Jiadai Mi, Amy Roberts, Flavia Flaviani, and Fewa Laleye are participanting in a work experience with the School of Life Course and Population Sciences. The workshop will be based on data analysis/bioinformatics for year 11-12 students visiting King's College London for work experience.
Date:
8th of July 2024
Time:
Session delivery time: 14:00-16:00
Previous sessions
Date: 14th of July 2022 Details: Jia Dai, Flavia Flaviani and Alicia Hadingham are participanting in a work experience with KCL - Women's and Children Heath Department.
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