Article

Unsupervised genome-wide cluster analysis: nucleotide sequences of the omicron variant of SARS-CoV-2 are similar to sequences from early 2020

2021-12-30

Abstract excerpt

The GISAID database contains more than 1,000,000 SARS-CoV-2 genomes, including sequences of the recently discovered SARS-CoV-2 omicron variant and of prior SARS-CoV-2 strains that have been collected from patients around the world since the beginning of the pandemic. We applied unsupervised cluster analysis to the SARS-CoV-2 genomes, assessing their similarity at a genome-wide level based on the Jaccard index and...

Topics

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

Identifiers and source

Literature Corpus work: c0398a19-9c87-5126-abe0-933803105cdf
DOI: 10.1101/2021.12.29.474469

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Unsupervised genome-wide cluster analysis: nucleotide sequences of the omicron variant of SARS-CoV-2 are similar to sequences from early 2020DOI 10.1101/2021.12.29.474469Read

Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interestSemantic proximity Read

Unsupervised cluster analysis of SARS-CoV-2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS-CoV-2 virusSemantic proximity Read

Genetic cluster analysis of SARS-CoV-2 and the identification of those responsible for the major outbreaks in various countries.Semantic proximity Read

Analysis of 329,942 SARS-CoV-2 records retrieved from GISAID database.Semantic proximity Read

Comprehensive genomic analysis of the SARS-CoV-2 Omicron variant BA.2.76 in Jining City, China, 2022Semantic proximity Read

Genomic profile of SARS-CoV-2 Omicron variant and its correlation with disease severity in RajasthanSemantic proximity Read

Rapidly Identifying New Coronavirus Mutations of Potential Concern in the Omicron Variant Using an Unsupervised Learning StrategySemantic proximity Read

Clustering analysis for the evolutionary relationships of SARS-CoV-2 strainsSemantic proximity Read

Rapidly identifying new coronavirus mutations of potential concern in the Omicron variant using an unsupervised learning strategy.Semantic proximity Read

Early genomic, epidemiological, and clinical description of the SARS-CoV-2 Omicron variant in Mexico CitySemantic proximity Read

Quasispecies Analysis of SARS-CoV-2 of 15 Different Lineages during the First Year of the Pandemic Prompts Scratching under the Surface of Consensus Genome SequencesSemantic proximity Read