Some basic notes for a couple hour discussion about data visualization.
Build on a few points from my previous course.
To read in advance of the class: https://r4ds.had.co.nz/data-visualisation.html .
First, some nomenclature (see https://conda.io/docs/glossary.html for more):
A typical workflow:
These examples of regular expressions are taken largely from our book Practical computing for Biologists. More information is available at http://practicalcomputing.org.
Given the following names:
Agalma elegans Frillagalma vitiazi
June 25, 2017 (and updated since then)
These are some notes and annotated references relevant to my talk with Stacey Smith in the symposium "SSB Symposium Phylogenetic approaches to connecting genotypes to phenotypes" at Evolution 2017.
If you are interested in any of this work let me know. I am moving to Yale and looking for people to join the new research group.
Docker is a tool for bundling together applications and their dependencies into images that can than be run as containers on many different types of computers.
Docker and other containerization tools are useful to scientists because:
|# Setting up virtualenv on macOS Yosemite|
|which python # check location of system version|
|brew install python|
|brew install freetype # Needed by some python packages|
|brew install libxml2 # Needed by some python packages|
|pip install virtualenv virtualenvwrapper pytest|