💻 Software & Environment Setup
Immunology & Vaccine Development
The computational toolchain and environment used throughout Advanced Course on CAR-T Therapy- Oncology and Beyond.
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# Recommended conda environmentconda create -n dstc_env python=3.11 -yconda activate dstc_envpip install biopython pandas scikit-learn logomakerNetMHCpan / IEDB tools
Epitope & MHC-binding prediction
Epitope & MHC-binding prediction
AlphaFold
Antigen structure prediction
Antigen structure prediction
PyMOL
Structure & epitope visualisation
Structure & epitope visualisation
R / Bioconductor
Immune-repertoire analysis
Immune-repertoire analysis
Supported OS: Linux (Ubuntu 22.04+), macOS, or Windows via WSL2.
Hardware: 16 GB RAM minimum; a CUDA GPU helps for deep-learning modules.
Earn government-registered certification in Advanced Course on CAR-T Therapy- Oncology and Beyond
e-Certificate and e-Marksheet issued on successful completion.
