1 code implementation • 19 Jan 2023 • Sebastian Contreras, Karen Y. Oróstica, Anamaria Daza-Sanchez, Joel Wagner, Philipp Dönges, David Medina-Ortiz, Matias Jara, Ricardo Verdugo, Carlos Conca, Viola Priesemann, Álvaro Olivera-Nappa
Consequently, it is convenient for countries with comparatively few resources to operate at lower sequencing rates, thereby profiting the most from adaptive sampling.
1 code implementation • 23 Aug 2021 • Karen Y. Oróstica, Sebastian Contreras, Sebastian B. Mohr, Jonas Dehning, Simon Bauer, David Medina-Ortiz, Emil N. Iftekhar, Karen Mujica, Paulo C. Covarrubias, Soledad Ulloa, Andrés E. Castillo, Ricardo A. Verdugo, Jorge Fernández, Álvaro Olivera-Nappa, Viola Priesemann
The emergence of SARS-CoV-2 variants of concern endangers the long-term control of COVID-19, especially in countries with limited genomic surveillance.
no code implementations • 10 Mar 2021 • Simon Bauer, Sebastian Contreras, Jonas Dehning, Matthias Linden, Emil Iftekhar, Sebastian B. Mohr, Álvaro Olivera-Nappa, Viola Priesemann
However, as vaccination progresses, demands to lift restrictions increase, despite most of the population remaining susceptible.
1 code implementation • 28 Jan 2021 • Cristofer Quiroz, Yasna Barrera Saavedra, Benjamín Armijo-Galdames, Juan Amado-Hinojosa, Álvaro Olivera-Nappa, Anamaria Sanchez-Daza, David Medina-Ortiz
Computational tools are being developed to take advantage of existing information, encapsulating knowledge and making it available in a simple way for general public use.
no code implementations • 3 Dec 2020 • Danton Freire-Flores, Nyna Llanovarced-Kawles, Anamaria Sanchez-Daza, Álvaro Olivera-Nappa
Non-pharmaceutical interventions (NPIs) have played a crucial role in controlling the spread of COVID-19.
no code implementations • 7 Oct 2020 • David Medina-Ortiz, Sebastian Contreras, Juan Amado-Hinojosa, Jorge Torres-Almonacid, Juan A. Asenjo, Marcelo Navarrete, Álvaro Olivera-Nappa
Predicting the effect of mutations in proteins is one of the most critical challenges in protein engineering; by knowing the effect a substitution of one (or several) residues in the protein's sequence has on its overall properties, could design a variant with a desirable function.