Last updated: 2019-12-05

Checks: 2 0

Knit directory: reproducible_bioinformatics/

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html 5dc4fe0 davetang 2019-12-05 Build site.
Rmd 179c2bb davetang 2019-12-05 wflow_publish(files = c(“analysis/conda.Rmd”, “analysis/docker.Rmd”, “analysis/index.Rmd”,
html 9aa9aa4 davetang 2019-12-05 Build site.
Rmd ec7204f davetang 2019-12-05 wflow_publish(files = c(“analysis/about.Rmd”, “analysis/conda.Rmd”, “analysis/docker.Rmd”,
html 60a5900 First Last 2019-12-04 Build site.
html d83e8cb davetang 2019-12-03 Build site.
Rmd 88b592b davetang 2019-12-03 New workflowr project
Rmd 4e0dfff davetang 2019-12-03 Start workflowr project.

This workshop will discuss guidelines for ensuring reproducibility in bioinformatic data analysis and demonstrate how we can adhere to these guidelines through the use of various computational tools. You will be introduced to Conda and Docker and shown how they can be used to simplify the deployment of bioinformatics tools and create isolated software environments ensuring that analyses can be reproduced. The workshop will also discuss approaches for organising computational projects using the workflowr R package. By the end of the workshop, you will have learned some ideas behind carrying out reproducible research and can better communicate and share your work in a reproducible manner.