Article

Temporal evolution and adaptation of SARS-COV-2 codon usage

2020-05-29

Abstract excerpt

The outbreak of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) has caused an unprecedented pandemic. Since the first sequenced whole-genome of SARS-CoV-2 on January 2020, the identification of its genetic variants has become crucial in tracking and evaluating their spread across the globe. In this study, we compared 134,905 SARS-CoV-2 genomes isolated from all affected countries since the outbreak of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f497358a-d451-5953-8e44-91e380a93fbf
DOI: 10.1101/2020.05.29.123976

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Temporal evolution and adaptation of SARS-COV-2 codon usageDOI 10.1101/2020.05.29.123976Read

Temporal evolution and adaptation of SARS-CoV-2 codon usageSemantic proximity Read

Codon Usage and Phenotypic Divergences of SARS-CoV-2 Genes.Semantic proximity Read

Analysis of SARS-CoV-2 synonymous codon usage evolution throughout the COVID-19 pandemicSemantic proximity Read

Diverse tendencies in codon usage evolution of SARS-CoV-2 genesSemantic proximity Read

Characterization of Codon Usage Pattern in SARS-CoV-2Semantic proximity Read

Characterization of codon usage pattern in SARS-CoV-2.Semantic proximity Read

Codon usage divergence in Delta variants (B.1.617.2) of SARS-CoV-2.Semantic proximity Read

From SARS and MERS CoVs to SARS‐CoV‐2: Moving toward more biased codon usage in viral structural and nonstructural genesSemantic proximity Read

Evolution of codon usage in 2019-new coronavirus causing human infectionSemantic proximity Read

The Evolution of Severe Acute Respiratory Syndrome Coronavirus-2 during Pandemic and Adaptation to the Host.Semantic proximity Read

Insights into The Codon Usage Bias of 13 Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Isolates from Different Geo-locationsSemantic proximity Read

Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies.Semantic proximity Read