The Energetics of Molecular Adaptation in Transcriptional Regulation
Welcome to the GitHub repository for the MWC mutants project! This repository contains the entire project history as well as curated scripts to make reproducibility feasible.
This repository consists of three branches --
master branch is the primary working branch the authors
used during the research. It contains all project history, processing data
scripts, preliminary figure scripts, and other exploratory data analysis
gh-pages brach contains all of the website
files including hosting of the
interactive figures. Finally, the
publication branch (which you are reading
this on) contains all final processed data, figure generating scripts, data
analysis scripts, and the software module
mut. If interested in reproducing
the work in this publication, you can execute the scripts on this branch.
Please see the individual directories for more information.
To reproduce this work, you will need to use the
mut module -- a homegrown
Python software package written explicitly for this work. The requirements
can be installed by executing the following command using
pip in the command line:
pip install -r requirements.txt
The software module itself can be installed locally by executing the command in the root directory,
pip install -e ./
We have written a file
install.sh that performs both of these steps. To
install, simply run
from the root directory. When installed, a new folder
mut.egg-info will be
installed and is necessary to run any of the code.
This repository is broken up into several directories and subdirectories. Please see each directory for information regarding each file.
The name says it all. This repository contains all code used in this work to analyze data and generate figures. It is broken up into several subdirectories which separate the scripts by function.
analysis| Contains all Python scripts which perform data analysis procedures. This includes parameter inference and calibration of various statistical models.
figures| Contains all Python scripts which perform data visualization procedures. This includes generation all main and supplementary text figures as well as the interactive figures on the paper website.
stan| Contains all inferential models and associated functions written in the Stan probabilistic programming language.
processing| This folder contains a single script (
example_processing.py) that illustrates how processing of the raw data was performed. It is kept very generic such that only a few parameters at the top of the script need to be changed from experiment to experiment.
This folder contains
This is the heart-and-soul of the repository. It contains a series of Python files which define the myriad functions used in the processing, analysis, and visualization of data associated with this work. Pleas navigate to the directory to see a description of its contents.
We tested a selection of functions we believe are critical to this work. This includes the gaussian gating routine for processing of flow cytometry, computation of MWC active probabilities, and scraping of processed datasets to collect only the accepted experiments. This repository is powered by Travis Continuous Integration which periodically runs the test functions to ensure that everything passes.
All creative works (writing, figures, etc) are licensed under the Creative Commons CC-BY 4.0 license. All software is distributed under the standard MIT license as follows
Copyright 2019 The Authors Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.