Cargando…
RCOVID19: Recurrence-based SARS-CoV-2 features using chaos game representation
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the COVID-19 pandemic. It was first detected in China and was rapidly spread to other countries. Several thousands of whole genome sequences of SARS-CoV-2 have been reported and it is important to compare them and identi...
Autores principales: | Olyaee, Mohammad Hossein, Pirgazi, Jamshid, Khalifeh, Khosrow, Khanteymoori, Alireza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411429/ https://www.ncbi.nlm.nih.gov/pubmed/32835040 http://dx.doi.org/10.1016/j.dib.2020.106144 |
Ejemplares similares
-
Application of Chaotic Laws to Improve Haplotype Assembly Using Chaos Game Representation
por: Olyaee, Mohammad Hossein, et al.
Publicado: (2019) -
Chaos game representation dataset of SARS-CoV-2 genome
por: Barbosa, Raquel de M., et al.
Publicado: (2020) -
A chaotic viewpoint-based approach to solve haplotype assembly using hypergraph model
por: Olyaee, Mohammad Hossein, et al.
Publicado: (2020) -
A robust gene regulatory network inference method base on Kalman
filter and linear regression
por: Pirgazi, Jamshid, et al.
Publicado: (2018) -
Comparing protein–protein interaction networks of SARS-CoV-2 and (H1N1) influenza using topological features
por: Khojasteh, Hakimeh, et al.
Publicado: (2022)