Code to be made public
which annoyingly throws away lots of useful data that RShiny needs for clickable plots. Also split the "flame bar" for ligand distance out into separate functions in generate_distance_colour_map.R. This can now be easily incorporated into any "wide" graph showing all positions. |
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config | ||
dynamut | ||
foldx | ||
mcsm | ||
mcsm_na | ||
mcsm_ppi2 | ||
scripts | ||
.gitignore | ||
LICENCE | ||
mk_drug_dirs.sh | ||
my_header.R | ||
README.md | ||
running_scripts |
mCSM
This contains scripts that does the following:
- mcsm.py: function for submitting mcsm job and extracting results
- run_mcsm.py: wrapper to call mcsm.py
foldx
This contains scripts that does the following:
- runFoldx.py: submitting foldx requests and extracting results
- runfoldx.sh: is wrapped by runFoldx.py
Requires an additional 'Data' directory. Batteries not included:-)
Assumptions
- git repos are cloned to
~/git
- Requires a data directory with an
input
andoutput
subdirs. Can be specified on the CLI with--datadir
, and optionally can be created withmk_drug_dirs.sh <DRUG_NAME>
LSHTM_analysis:
subdirs within this repo
scripts
*.R
*.py
plotting/
*.R
mcsm
*.py
foldx
*.py
*.sh
More docs here as I write them.