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GeNeo: A Bioinformatics Toolbox for Genomics-Guided Neoepitope Prediction.
Al Seesi, Sahar; Al-Okaily, Anas; Shcheglova, Tatiana V; Sherafat, Elham; Alqahtani, Fahad H; Hagymasi, Adam T; Kaur, Anupinder; Srivastava, Pramod K; Mandoiu, Ion I.
Afiliación
  • Al Seesi S; Department of Computer Science, Southern Connecticut State University, New Haven, Connecticut, USA.
  • Al-Okaily A; Department of Cell Therapy and Applied Genomics, King Hussein Cancer Center, Amman, Jordan.
  • Shcheglova TV; Carole and Ray Neag Comprehensive Cancer Center, University of Connecticut School of Medicine, Farmington, Connecticut, USA.
  • Sherafat E; Department of Computer Science and Engineering, University of Connecticut, Storrs, Connecticut, USA.
  • Alqahtani FH; National Centre for Bioinformatics, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.
  • Hagymasi AT; Carole and Ray Neag Comprehensive Cancer Center, University of Connecticut School of Medicine, Farmington, Connecticut, USA.
  • Kaur A; Department of Neuroscience, University of Connecticut School of Medicine, Farmington, Connecticut, USA.
  • Srivastava PK; Carole and Ray Neag Comprehensive Cancer Center, University of Connecticut School of Medicine, Farmington, Connecticut, USA.
  • Mandoiu II; Department of Computer Science and Engineering, University of Connecticut, Storrs, Connecticut, USA.
J Comput Biol ; 30(4): 538-551, 2023 04.
Article en En | MEDLINE | ID: mdl-36999902
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Comput Biol Asunto de la revista: BIOLOGIA MOLECULAR / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Comput Biol Asunto de la revista: BIOLOGIA MOLECULAR / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos