Research article
S-SPAM: Search for Spatio-Temporal Patterns of Mutations
Search method for spatio-temporal patterns of mutations applied to variability analysis in the SARS-CoV-2 Spike protein. Published in the Journal of Computational and Applied Mathematics.
RBioinformaticsTopological Data AnalysisSpatio-temporal analysis
Connected work
Connected work
Appearances and writing that grew from, explained, or documented this project.
AppearanceSpatio-Temporal Patterns of Virulence and Infectivity Associated with Coding Mutations in the SARS-CoV-2 Spike ProteinEncuentro de Jóvenes Investigadores del Estado de Nuevo León · November 18, 2020AppearanceSpatio-Temporal Patterns of Virulence and Infectivity Associated with Coding Mutations in the SARS-CoV-2 Spike Protein3ª Semana de la Matemática — COMEMAT · March 14, 2021AppearanceSpatial-Temporal Variability of SARS-CoV-2 Spike Protein and Its Effect in COVID-19 Disease Outbreaks7th Student Council Symposium — ISCB · July 23, 2021AppearanceSpatial-Temporal Variability of SARS-CoV-2 Spike Protein and Its Effect in COVID-19 Disease Outbreaks2nd Women in Bioinformatics and Data Science · September 22, 2021AppearanceCharacterization of Spike Protein Sequence Variability of SARS-CoV-2 with Topological Data AnalysisLIV Congreso Nacional de Matemáticas — SMM · October 18, 2021