Initiating a data science (R/python/linux) study group at BC Children's Hospital Research Institute

[Phillip-a-richmond]

Hello,
I have recently become aware of this excellent study group for R, with applications to biological data analysis and more generic data science problems.

At the BC Children's Hospital Research Institute (BCCHR) we are interested in starting a similar group, with the hope that we can educate trainees (wet-lab scientists) on how to process their own data using established pipelines and methods (mostly R-based). Increasingly, we are seeing large datasets from Flow cytometry, single cell RNA-sequencing data, mass spec, and DNA methylation (just to name a few).

Obviously we don't want to reinvent the wheel, but we do want something coordinated on site at BCCHR, and being far away from main campus makes the process of our trainees joining your existing group a bit difficult.

If someone within your team has some time to chat about ways in which we can "fork" this study group methodology to be applied locally then I'd be happy to pick their brains over coffee.

We are only in the early stages of adoption, but it is clear that there are many things we can leverage including EDUCE, Bioinformatics.ca, and Software Carpentry.

Our main goals are to establish a workshop-based curriculum from novice --> intermediate R analysis, engage with linux systems like Compute Canada for HPC access, and develop a semi-regular study group where individual projects/problems can be presented.

Thanks for your time,
Phil

[minisciencegirl]

Hey @Phillip-a-richmond: Please feel free to fork and take whatever lesson materials you like from this Repo. However, please make sure to credit the person who created any particular lesson you are interested in.

Also, as I mentioned yesterday, our group has a new organization github repo as our new home. https://github.com/UBC-R-Study-group

Currently, we update both repos but eventually this one will phase out.