ePlatypus: an ecosystem for computational analysis of immunogenomics data

MOTIVATION: The maturation of systems immunology methodologies requires novel and transparent computational frameworks capable of integrating diverse data modalities in a reproducible manner. RESULTS: Here, we present the ePlatypus computational immunology ecosystem for immunogenomics data analysis,...

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Detalles Bibliográficos
Autores principales: Cotet, Tudor-Stefan, Agrafiotis, Andreas, Kreiner, Victor, Kuhn, Raphael, Shlesinger, Danielle, Manero-Carranza, Marcos, Khodaverdi, Keywan, Kladis, Evgenios, Desideri Perea, Aurora, Maassen-Veeters, Dylan, Glänzer, Wiona, Massery, Solène, Guerci, Lorenzo, Hong, Kai-Lin, Han, Jiami, Stiklioraitis, Kostas, D’Arcy, Vittoria Martinolli, Dizerens, Raphael, Kilchenmann, Samuel, Stalder, Lucas, Nissen, Leon, Vogelsanger, Basil, Anzböck, Stine, Laslo, Daria, Bakker, Sophie, Kondorosy, Melinda, Venerito, Marco, Sanz García, Alejandro, Feller, Isabelle, Oxenius, Annette, Reddy, Sai T, Yermanos, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518073/
https://www.ncbi.nlm.nih.gov/pubmed/37682115
http://dx.doi.org/10.1093/bioinformatics/btad553

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518073/
https://www.ncbi.nlm.nih.gov/pubmed/37682115
http://dx.doi.org/10.1093/bioinformatics/btad553

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