3Dseq - analysis scripts
This repository contains scripts and jupyter notebooks used to analyze laboratory evolution data, infer residue-residue interactions, and determine 3-dimensional structure. The project is explained in detail in our recent publication:
Michael A Stiffler*#, Frank J Poelwijk*#, Kelly P Brock, Richard R Stein, Adam Riesselman, Joan Teyra, Sachdev Sidhu, Debora S Marks, Nicholas P Gauthier@#, Chris Sander@#. (2019). Protein Structure from Experimental Evolution. Cell Systems, in press.
* Joint first authors
@ Joint last authors
# Email to 3Dseq.firstname.lastname@example.org reaches the principal authors
README.txtfiles for a description of the scripts in each folder.
- Accessory files are available from https://api.evcouplings.org/3Dseq/