Seasonal effects decouple SARS-CoV-2 haplotypes worldwide

Name: Seasonal effects decouple SARS-CoV-2 haplotypes worldwide
Keywords: epidemic calendar, seasonality, proteome, coronavirus, membrane protein, mutation, spike protein, variants of concern, protein interactions, nucleocapsid protein

Tomaszewski, Tre; Ali, M. Asif; Caetano-Anolles, Kelsey; Caetano-Anolles, Gustavo

Found an issue? Give us feedback

ZENODOarrow_drop_down

ZENODO

Software . 2023

License: https://opensource.org/licenses/MIT

Data sources: Datacite

ZENODO

Software . 2023

License: https://opensource.org/licenses/MIT

Data sources: Datacite

Seasonal effects decouple SARS-CoV-2 haplotypes worldwide

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 09 Feb 2023 English Publisher:Zenodo

Authors: Tomaszewski, Tre; Ali, M. Asif; Caetano-Anolles, Kelsey; Caetano-Anolles, Gustavo;

doi: 10.5281/zenodo.7636393 , 10.5281/zenodo.7636392

Seasonal effects decouple SARS-CoV-2 haplotypes worldwide

- Summary
- Subjects
- Metrics

Abstract

Source code script for extracting and comparing geographic and temporal changes in the SARS-CoV-2 proteome using metadata from the GISAID EpiCoVTM database. Archive of GitHub repository https://github.com/gcalab/files/tree/master/F1000Research

Related Organizations

University of Illinois at Urbana Champaign
United States
University of Illinois System
United States

Keywords

epidemic calendar, seasonality, proteome, coronavirus, membrane protein, mutation, spike protein, variants of concern, protein interactions, nucleocapsid protein

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average