most citedStatistically-based methodology for revealing real contagion trends and correcting delay-induced errors in the assessment of COVID-19 pandemic

26 citations · 33 across the 3 of their papers we have counts for

collaborators

4 papers

q-bio.PE20217 cited

Mutational signatures and transmissibility of SARS-CoV-2 Gamma and Lambda variants

Karen Y. Oróstica, Sebastian Contreras, Sebastian B. Mohr +12

The emergence of SARS-CoV-2 variants of concern endangers the long-term control of COVID-19, especially in countries with limited genomic surveillance. In this work, we explored ge…

q-bio.GN2021

Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches

Cristofer Quiroz, Yasna Barrera Saavedra, Benjamín Armijo-Galdames +4

Motivation: Peptides have attracted the attention in this century due to their remarkable therapeutic properties. Computational tools are being developed to take advantage of exist…

cs.CE2020

Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins

David Medina-Ortiz, Sebastian Contreras, Juan Amado-Hinojosa +4

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 t…

q-bio.PE202026 cited

Statistically-based methodology for revealing real contagion trends and correcting delay-induced errors in the assessment of COVID-19 pandemic

Sebastián Contreras, Juan Pablo Biron-Lattes, H. Andrés Villavicencio +3

COVID-19 pandemic has reshaped our world in a timescale much shorter than what we can understand. Particularities of SARS-CoV-2, such as its persistence in surfaces and the lack of…