NeoAntigens Prediction@CNB (NAP-CNB)
NeoAntigens Prediction@CNB (NAP-CNB) is a tool for the prediction of neoantigenic peptides from RNA-seq or protein data. It provides a list of putative neoantigens along with some predictions associated with each sequence. NAP-CNB uses variant calling methods for the identification of mutations in the samples. It also uses neural networks to predict on the mutant peptides in order to output a list of putative neoantigens. It allows to analyze protein sequences and RNA-seq sequences obtained by next generation sequencing methods.
Basic Information
| Repository | https://biocomp.cnb.csic.es/NeoantigensApp/ |
| Documentation | https://biocomp.cnb.csic.es/NeoantigensApp/NeoantigensApp/about/ |
| Main publication (DOI) | 10.21203/rs.3.rs-209367/v1 |
| Contact email | jr.macias@cnb.csic.es |
| Authors/Maintainers | Esteban Veiga Chacón |
| Type of application | Web-service |
| Programming languages | PythonRJavaJavaScriptBASH / ShellMySQL |
| Keywords | Omics, Computational Methods, Resources, Data Analysis, Artificial Intelligence, Machine Learning in Biology, Bioinformatics Software and Tools, Applications of Computational Biology, Model organisms, Genomics, Personal medicine, Genomic Annotation, Web-service, Drug Discovery and design, Single-cell omics, Deep Learning in Biology |
Technical details
| Input file formats | json |
| Output file formats | csv, tsv, fasta |
| Software compatibility | Linux, Mac, Windows |
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| Type of containerization | Docker |
| Wrapper type | None |
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| Funding resource | EU funding, National competitive funding, Regional/local competitive funding |
| Funding support | No funding |
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| Citations (last 12 months) | <100 (~0 as of 15/10/2026) |
| Citations (since first release) | <100 (0 as of 15/10/2026) |
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