Closed nikhil closed 7 months ago
looks like we will run only 1 and 2, might need to fork the code to get the specific calculations we need for step 2
It looks like the input of this file: https://github.com/LukszaLab/NeoantigenEditing/blob/main/data/Patient_data/11-LTS/Primary/11_LTS_primary_tumor.json, is just the phylowgs + OptiType
I'll work on this as well
Of the 4 indicated input files:
iedb.fasta
a resource
epitope_distance_model_parameters.json
a resource created by the lab https://github.com/LukszaLab/NeoantigenEditing/blob/0126b82b1b4c0d44b6e3f5559c43e6022b8cdbd3/data/epitope_distance_model_parameters.json
fitness_weights.txt
no idea what this is https://github.com/LukszaLab/NeoantigenEditing/blob/0126b82b1b4c0d44b6e3f5559c43e6022b8cdbd3/data/fitness_weights.txt
patient_data
Mutation data under a clonal tree https://github.com/LukszaLab/NeoantigenEditing/blob/0126b82b1b4c0d44b6e3f5559c43e6022b8cdbd3/data/Patient_data/11-LTS/Primary/11_LTS_primary_tumor.json
After reading the methods of the paper it looks like you need: HLA typing, they use OptiType Clones created by PhyloWGS NetMHC?
Basically, we first need to know what information to gather to form the input files, and then we can focus on formatting it properly