Coding resource dump.

[jamesblackshaw]

Introduction to plotting and dataframes in Python http://swcarpentry.github.io/python-novice-gapminder/

Bokeh interactive plots https://bokeh.org/

Plotting with plotly https://plotly.com/python/getting-started/

Plotting maps with plotly https://plotly.com/python/maps/

Pandas cheat sheet https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf

Tidy data http://vita.had.co.nz/papers/tidy-data.pdf

Data carpentry genomics https://datacarpentry.org/lessons/#genomics-workshop

Data carpentry ecology https://datacarpentry.org/python-ecology-lesson/

Free textbook, a bit too in depth but a good ref https://leanpub.com/dataanalysisforthelifesciences

[JamesABaker]

Links to variant interpretation data. This is also in the readme.

CoVal - https://coval.ccpem.ac.uk/ [coval.ccpem.ac.uk]

Mutation Explorer - http://sars2.cvr.gla.ac.uk/cog-uk/ [sars2.cvr.gla.ac.uk]

COVID-3D - http://biosig.unimelb.edu.au/covid3d/ [biosig.unimelb.edu.au]

polecat - https://cog-uk.github.io/polecat/ [cog-uk.github.io]

[JamesABaker]

Johns Hopkins Global Coronavirus Map. https://coronavirus.jhu.edu/map.html

[JamesABaker]

React study findings: https://www.imperial.ac.uk/medicine/research-and-impact/groups/react-study/real-time-assessment-of-community-transmission-findings/ Siren: https://snapsurvey.phe.org.uk/siren/

[jamesblackshaw]

Journal Article on why this sort of project is important and useful, and a link to a group that's working on this sort of issue: https://www.nature.com/articles/d41586-021-00525-x https://nextstrain.org/