Cargando…
Editorial: SARS-CoV-2: From Genetic Variability to Vaccine Design
Autores principales: | Saha, Indrajit, Ghosh, Nimisha, Plewczynski, Dariusz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459317/ https://www.ncbi.nlm.nih.gov/pubmed/36092929 http://dx.doi.org/10.3389/fgene.2022.960107 |
Ejemplares similares
-
COVID-DeepPredictor: Recurrent Neural Network to Predict SARS-CoV-2 and Other Pathogenic Viruses
por: Saha, Indrajit, et al.
Publicado: (2021) -
Identification
of Human miRNA Biomarkers Targeting
the SARS-CoV-2 Genome
por: Saha, Indrajit, et al.
Publicado: (2022) -
Hotspot Mutations in SARS-CoV-2
por: Saha, Indrajit, et al.
Publicado: (2021) -
Bioinformatics pipeline unveils genetic variability to synthetic vaccine design for Indian SARS-CoV-2 genomes
por: Ghosh, Nimisha, et al.
Publicado: (2022) -
Genome-wide analysis of 10664 SARS-CoV-2 genomes to identify virus strains in 73 countries based on single nucleotide polymorphism
por: Ghosh, Nimisha, et al.
Publicado: (2021)