Cargando…
CoVEffect: interactive system for mining the effects of SARS-CoV-2 mutations and variants based on deep learning
BACKGROUND: Literature about SARS-CoV-2 widely discusses the effects of variations that have spread in the past 3 years. Such information is dispersed in the texts of several research articles, hindering the possibility of practically integrating it with related datasets (e.g., millions of SARS-CoV-...
Autores principales: | Serna García, Giuseppe, Al Khalaf, Ruba, Invernici, Francesco, Ceri, Stefano, Bernasconi, Anna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205000/ https://www.ncbi.nlm.nih.gov/pubmed/37222749 http://dx.doi.org/10.1093/gigascience/giad036 |
Ejemplares similares
-
CoV2K model, a comprehensive representation of SARS-CoV-2 knowledge and data interplay
por: Alfonsi, Tommaso, et al.
Publicado: (2022) -
Analysis of co-occurring and mutually exclusive amino acid changes and detection of convergent and divergent evolution events in SARS-CoV-2
por: Al Khalaf, Ruba, et al.
Publicado: (2022) -
EpiSurf: metadata-driven search server for analyzing amino acid changes
within epitopes of SARS-CoV-2 and other viral species
por: Bernasconi, Anna, et al.
Publicado: (2021) -
VariantHunter: a method and tool for fast detection of emerging SARS-CoV-2 variants
por: Pinoli, Pietro, et al.
Publicado: (2023) -
Data-driven analysis of amino acid change dynamics timely reveals SARS-CoV-2 variant emergence
por: Bernasconi, Anna, et al.
Publicado: (2021)