henhaobio
Sign in

bioRxivEvolutionary BiologyPreprint

CoV Genome Tracker: tracing genomic footprints of Covid-19 pandemic

S. Akther, E. Bezrucenkovas, B. Sulkow, C. Panlasigui, L. Li, W. Qiu, L. Di

PDFDOICode

Abstract

SummaryGenome 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 outbreaks 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 companion browser provides gene-by-gene and codon-by-codon evolutionary rates to facilitate the search for molecular targets of clinical interventions. Availability and ImplementationCoV 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). Contactweigang@genectr.hunter.cuny.edu, City University of New York, Hunter College Supplementary InformationAll supporting scripts developed in JavaScript, Python, BASH, and PERL programming languages are available as Open Source at the GitHub repository https://github.com/weigangq/cov-browser.

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSong '20Fernandes '20Flynn '20Ling '22Yu '21Fang '20
70% semantic matchGenomics
Shuhui Song, Lina Ma, Dong Zou+27 more·Genomics Proteomics & Bioinformatics·Dec 1, 2020· 112 citations