Resources and Notes

Here are some links to code we routinely use, as well as several documents on lab policy.

Code:

We believe in openly sharing our analyses and data. Here’s our Github repo. We release the data and analyses associated with our publications, usually as a series of Jupyter notebooks (see Publications for specific links).

PySCA, a python (v 2.7) implementation of the statistical coupling analysis [github]

A newer version of PySCA from the Ranganathan lab, implemented in python 3 [github]

Python workshop for Scientific Computing:

Programming and data science are key elements of modern biological research. To encourage young scientists to get started early with coding, we developed a python workshop for high school students. This course was offered through the UTSW STARS summer research program for summer 2022-24.

Lab Policies:

Clarity in expectations is one part of creating a supportive and effective lab culture. Below are a few documents on lab policy and culture.

Getting started in the lab [pdf]

Lab notebook policy [pdf]

Archiving of physical reagents [pdf]

Authorship policy [pdf]