bioRxivBioinformaticsPreprint
HABIT - a webserver for interactive T cell neoepitope discovery
Joana Martins, Carlos MagalhãesiD, Vítor VieiraiD, Miguel RochaiD, Nuno Sampaio OsórioiD
Abstract
Neoepitopes generated by amino acid variants specifically found in pathogens or cancer cells are gaining momentum in immunotherapy development. HABIT (HLA Binding InTelligence) is a web platform designed to generate and analyse machine learning-based T cell epitope predictions for improved neoepitope discovery. Availability and ImplementationHABIT is available at http://habit.evobiomed.com. Peptide-HLA binding predictions by NetMHCpan 4.0 and NetMHCIIpan 3.1 were implemented in a web application for interactive data exploration using shiny package powered by RStudio. Contactnosorio@med.uminho.pt Supplementary informationSupplementary data and video tutorials are available online.
- assay: proteomics
- research focus: software / tool
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 1
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