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TMS

analysis.ipynb

This notebook contains all the code to make all analysis presented in the paper. You can rerun this analysis using precomputed data provided.

rosetta_energy_scans/

Energies computed with Rosetta for all amino acids at all positions for 52 of high-resolution experimental proteins structures.

msa/

pfam seed alignments for the same set of proteins. This folder also contains a phylogenetic tree for each alignment computed with IQTREE: bash msa/find_LG_mles.sh

q_matrices/

TMS matrices computed over various hyperparameters based on grid-search. To recompute parameter grid-search run: bash scripts/00_make_cmds_for_grid_optimization.sh the script only creates the commands. You will have to execute them yourself.

mles/

Contains a file for each q matrix with logLs for each alignments. To make cmds for recompute those run python scripts/make_Q2logL_cmds.py (requires >5k CPU hours)

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