Source: https://github.com/jiujiezz/tsnadDescription: Pipeline with GUI allowing to identify tumor-specific mutant proteins according to GATK best practices. It provides two strategies: 1.Extraction of extracellular mutations from membrane proteins; 2. MHC affinity prediction for class I MHC. Allows us to start from raw NGS data.Input: Pair-ended sequencing data (FASTQ format) from WES.Output: List of somatic mutations with annotations, extracellular mutations of the membrane proteins and the MHC-binding information (TXT format). Here, HLA-C is linked to neoplasm.