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ISCB Student Council Symposium 2021, a virtual global venue: challenges and lessons learned.
Osorio-Mogollon, Cleidy; Grentzinger, Victor; Olguin-Orellana, Gabriel J; Ayala-Ruano, Sebastian; Gupta, Shruti; Eranti, Pradeep; Grover, Aayush; Cuypers, Bart; Fatima, Nazeefa; Shome, Sayane; Rahman, Farzana; Parra, R Gonzalo.
Afiliación
  • Osorio-Mogollon C; Ribeirao Preto Medical School, University of Sao Paulo, Riberao Preto, Brazil.
  • Grentzinger V; Laboratory of Human Genetics, GIGA Research Institute, 4000 Liège, Belgium.
  • Olguin-Orellana GJ; Center for Bioinformatics, Simulation and Modeling (CBSM), Faculty of Engineering, Universidad de Talca, Talca, Chile.
  • Ayala-Ruano S; Faculty of Science and Engineering, Maastricht University, Maastricht, The Netherlands.
  • Gupta S; School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Dehli, India.
  • Eranti P; Universite Paris Cit ´e, Inserm, UMRS-1124, Group of Genomic Epidemiology and Multifactorial Diseases, Paris, France.
  • Grover A; International Institute of Information Technology Bangalore, Bangalore, India.
  • Cuypers B; Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium.
  • Fatima N; Nordic Computational Biology, NA, Sweden.
  • Shome S; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University,, California, USA.
  • Rahman F; Faculty of Engineering, Computing and Environment, Kingston University, London, UK.
  • Parra RG; Computational Biology Group, Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain.
F1000Res ; 12: 50, 2023.
Article en En | MEDLINE | ID: mdl-36704314
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / COVID-19 Límite: Humans País/Región como asunto: Europa Idioma: En Revista: F1000Res Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido
Texto completo
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Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / COVID-19 Límite: Humans País/Región como asunto: Europa Idioma: En Revista: F1000Res Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido