Work

Quantitative test for COVID-19 in the cardiovascular process: in silico gene-target cluster evaluation

Year: 2024

Type: article

Abstract: KEGG Identify Gene Clusters in COVID-19 Cardiac Damage • "User-Friendly Virtual Tools Synthesize Data for Planning RT-qPCR Clusters in Research" • "Next-Generation Sequencing, RNA-Seq, Crucial for Expression Profiles in Viral Infection" • "Key Findings: Gene Clusters and Pathways Linked to COVID-19 Cardiac Damage and Disorders" • "Potential Targets: Gene Overlap and Pathways for Mitigating COVID-19 Cardiac Damage"

Source: Biotechnology Research and Innovation

DOI: 10.4322/biori.00092024

Authors: Luiz Henrique Pontes dos Santos, Chad Eric Grueter, Vânia Marilande Ceccatto

Language: English

Topic: SARS-CoV-2 detection and testing

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico

Award: G6620762933