Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/80292
Título: | HABIT - a webserver for interactive T cell neoepitope discovery |
Autor(es): | Martins, Joana Magalhães, Carlos Vieira, Vítor Rocha, Miguel Osório, Nuno S. |
Data: | 8-Mar-2019 |
Editora: | Cold Spring Harbor Laboratory |
Citação: | Martins, Joana; Magalhães, Carlos; Vieira, Vítor; Rocha, Miguel; Osório, Nuno S, HABIT - a webserver for interactive T cell neoepitope discovery. bioRxiv - the Preprint Server for Biology. Cold Spring Harbor Laboratory, 2019. |
Resumo(s): | 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 Implementation: HABIT 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. |
Tipo: | Preprint |
Descrição: | bioRxiv - the Preprint Server for Biology. |
URI: | https://hdl.handle.net/1822/80292 |
DOI: | 10.1101/535716 |
Versão da editora: | https://www.biorxiv.org/ |
Arbitragem científica: | no |
Acesso: | Acesso aberto |
Aparece nas coleções: | ICVS - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_50535_1.pdf | 519,48 kB | Adobe PDF | Ver/Abrir |