diff --git a/README.md b/README.md index 7cef940472ac2486ade30dd60bc98174ee480442..f70494e25bae56d17b44fbb01a034b8a2e4a3ce5 100644 --- a/README.md +++ b/README.md @@ -34,6 +34,13 @@ The files summary.py and similarityAllProteins.py provide the summary files of p Once every previous file is generated the code in Code statistical methods provide the graphics and statistical analysis as the ones shown in the publication. +Analysis_of_similarities-patterns_significance__DR.ipynb stablishes the proposed drug repurposing analysis. + +Analysis_of_similarities-patterns_significance__Simi_BLOSUM.ipynb, Analysis_of_similarities-patterns_significance__Simi_AA.ipynb and Analysis_of_similarities-patterns_significance__Simi_AA2.ipynb searches the similarities using the similarity matrixes previously computed for blosum, mod1(AA) and mod2(AA2). + +The sandkeys are generated in Pattern found - Sankey plots.ipynb + + All Output will be directly generated inside the Output directory.