Severe acute respiratory syndrome coronavirus 2 st... (ID 790937) - BioProject

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Accession: PRJNA790937 ID: 790937

Severe acute respiratory syndrome coronavirus 2 strain:Gamma

See Genome Information for Severe acute respiratory syndrome-related coronavirus

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407 additional projects are related by organism.

961 additional projects are components of the INSDC SARS-CoV-2 Viral Sequencing Data.

SARS-Cov-2 raw reads from family of vaccinated individuals infected with the same strain

Accession	PRJNA790937
Data Type	Raw sequence reads
Scope	Multiisolate
Organism	Severe acute respiratory syndrome coronavirus 2[Taxonomy ID: 2697049] Viruses; Riboviria; Orthornavirae; Pisuviricota; Pisoniviricetes; Nidovirales; Cornidovirineae; Coronaviridae; Orthocoronavirinae; Betacoronavirus; Sarbecovirus; Severe acute respiratory syndrome-related coronavirus; Severe acute respiratory syndrome coronavirus 2
Grants	"Identification and Characterization of the Antiviral Response to RSV Infection: A Single Cell Approach" (Grant ID F31 AI150007, National Institute of Allergy and Infectious Diseases Extramural Activities) "San Francisco Bay Clinical Trials Unit (CTU)" (Grant ID UM1 AI069496, National Institute of Allergy and Infectious Diseases Extramural Activities) "Immunopathogenesis of Fungal Infections" (Grant ID ZIA AI001175, Intramural NIH HHS)
Submission	Registration date: 20-Dec-2021 University of California, San Francisco
Relevance	Medical

Project Data:

Parameter	Value
Data volume, Mbases	213
Data volume, Mbytes	195

Supplemental Content

Severe acute respiratory syndrome coronavirus 2 strain:Gamma
Severe acute respiratory syndrome coronavirus 2 strain:Gamma
Severe acute respiratory syndrome coronavirus 2 strain:Gamma Raw sequence reads

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SARS-CoV-2 point mutation and deletion spectra, and their association with different disease outcome
The study shows that mutant spectra of SARS-CoV-2 from diagnostic samples differed in point mutation abundance and complexity, and that significantly larger values were recorded in virus from patients who developed mild COVID-19 symptoms. The abundance of low frequency mutations marks a difference with other RNA viruses, and it may slow down the response of SARS-CoV-2 to escape specific selective constraints such as drugs or antibodies.

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A comparison of high-throughput SARS-CoV-2 sequencing methods using COVID-19 patient samples

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