Por favor, use este identificador para citar o enlazar este ítem:
http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/2778| CoV Genome Tracker: tracing genomic footprints of Covid-19 pandemic | |
| Saymon Akther. Edgaras Bezrucenkovas. Brian Sulkow. Christopher Panlasigui. Li Li. Weigang Qiu. Lia Di. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| 10.1101/2020.04.10.036343 | |
| Summary: Genome sequences constitute the primary evidence on the origin and spread of the 2019-2020 Covid-19 pandemic. Rapid comparative analysis of coronavirus SARS-CoV-2 genomes is critical for disease control, outbreak forecasting, and developing clinical interventions. CoV Genome Tracker is a web portal dedicated to trace Covid-19 out-breaks in real time using a haplotype network, an accurate and scalable representation of genomic changes in a rapidly evolving population. We resolve the direction of mutations by using a bat-associated genome as outgroup. At a broader evolutionary time scale, a compan-ion browser provides gene-by-gene and codon-by-codon evolutionary rates to facilitate the search for molecular targets of clinical interventions. Availability and Implementation: CoV Genome Tracker is publicly available at http://cov.genometracker.org and updated weekly with the data downloaded from GISAID (http://gisaid.org). The website is implemented with a custom JavaScript script based on jQuery (https://jquery.com) and D3-force (https://github.com/d3/d3-force). Contact: weigang@genectr.hunter.cuny.edu, City University of New York, Hunter College. Supplementary Information: All supporting scripts developed in JavaScript, Python, BASH, and PERL programming languages are available as Open Source at the GitHub re-pository https://github.com/weigangq/cov-browser. | |
| www.biorxiv.org | |
| 2020 | |
| Artículo | |
| https://www.biorxiv.org/content/10.1101/2020.04.10.036343v1.full.pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
Cargar archivos:
| Fichero | Tamaño | Formato | |
|---|---|---|---|
| 1102670.pdf | 448.92 kB | Adobe PDF | Visualizar/Abrir |