💻 Software & Environment Setup
Immunology & Vaccine Development
The computational toolchain and environment used throughout Comprehensive Immunotherapy Education Course.
Comprehensive immunotherapy education courseComprehensive immunotherapy education online trainingBest comprehensive immunotherapy education certificationComprehensive immunotherapy education for researchersComprehensive immunotherapy education hands-on workshopLearn comprehensive immunotherapy education
# 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 Comprehensive Immunotherapy Education Course
e-Certificate and e-Marksheet issued on successful completion.
