| Name | Year | Description | Reference | Functional |
|---|---|---|---|---|
| ASNEO | 2020 | Identification of personalized alternative splicing based neoantigens with RNA-seq | YES | |
| CloudNeo | 2017 | A cloud based pipeline for identifying patient-specific tumor neoantigens | YES | |
| DeepHLApan | 2019 | Deep Learning Approach for Neoantigen Prediction | YES | |
| Epi-Seq | 2014 | Genomic and bioinformatic profiling of mutational neoepitopes. | YES | |
| FRED 2 | 2016 | Immunoinformatics framework for Python | YES | |
| JUMPg | 2016 | Proteogenomics Pipeline Identifying Unannotated Proteins in Human Brain and Cancer Cells | YES | |
| MHCflurry | 2020 | Prediction of peptides presented on MHC) class I proteins | YES | |
| MHCnuggets | 2019 | Prediction of binding between neoantigen peptides and MHC proteins | YES | |
| MHCSeqNet | 2019 | Deep neural network model for universal MHC binding prediction | YES | |
| MixMHCpred | 2017 | HLA-I motifs across HLA peptidomes improves neo-antigen predictions | YES | |
| MuPeXI | 2017 | Identifies tumour-specific peptides and their potential to be neo-epitopes | YES | |
| Neoantimon | 2020 | R package for identification of tumor-specific neoantigens | YES | |
| Neopepsee | 2018 | Genome-level neoantigens prediction by sequence and amino acid immunogenicity information | YES | |
| NetCTLpan | 2010 | Pan-specific MHC class I pathway epitope predictions | YES | |
| NetMHC-4.0 | 2016 | Prediction of peptide-MHC class I affinities of length 8-11 | YES | |
| NetMHCcons | 2012 | Consensus method for MHC class I predictions | YES | |
| NetMHCpan 4.0 | 2017 | Cancer neoantigens predictions integrating eluted ligand and peptide binding affinity data | YES | |
| NetMHCstabpan | 2016 | Predicts cancer neoantigens using artificial neural networks (ANNs). | YES | |
| POTN | 2020 | Human Leukocyte Antigen-A2 Peptides Screening and application in Neoantigens Prediction. | - | |
| ProGeo-neo | 2020 | Customized proteogenomic workflow for neoantigen prediction and selection | YES | |
| pTuneos | 2019 | Prioritizing tumor neoantigens from next-generation sequencing data | YES | |
| pVACtools | 2020 | A Computational Toolkit to Identify and Visualize Cancer Neoantigens | YES | |
| TIminer | 2017 | NGS data mining pipeline for cancer immunology and immunotherapy | YES |
ImmCancer: This website is maintained and developed at Raghava's Lab