A Python toolkit to prepare, modify, visualize and analyze deep mutational scanning (DMS) data of proteins.
demust contains several scripts: plots, maps, convert, compare and removegaps, extract, compare, inputgenerator etc.
Download the repository:
git clone https://github.com/tekpinar/demust.gitGo to the demust folder. Then, run the following command:
pip install -e .You can invoke help about each demust script as follows:
demust maps -h demust plots -h demust convert -h demust compare -h demust removegaps -h
demust maps tool can help visualize GEMME, FoldX, Rhapsody and various other Deep Mutational Scanning (DMS) data.
demust plots tool extracts data (such as averages etc) from the text data output of GEMME or FoldX. It is supposed to be a 2D plots tool.
demust convert will convert text output from (to) GEMME to (from) FoldX and Rhapsody formats.
demust compare will give you Spearman correlation between two DMS data sets.
demust inputgenerator will produce input files for polyphen2 from fasta file.
We recommend you to put a link to the github repository for now.
demust is developed and released under GNU Lesser GPL Licence. Please read to the COPYING and COPYING.LESSER files to know more.