Author/Authors :
Shinwari, Khyber Ural Federal University, Yekaterinburg, Russia - Institute of Chemical Engineering - Department of Immunochemistry , Liu, Guojun Ural Federal University Yekaterinburg, Russia - Institute of Natural Sciences and Mathematics - Department of Medical Biochemistry and Biophysics , Bolkov, Mikhail A Ural Federal University, Yekaterinburg, Russia - Institute of Chemical Engineering - Department of Immunochemistry , Ahmad, Izaz University of Management Sciences, Lahore, Pakistan - Department of Biology , Daud, Muhmmad The Julius Maximilian University of Würzburg, Germany - Institute for Virology and Immunobiology , Tuzankina, Irina A Ural Federal University, Yekaterinburg, Russia - Institute of Chemical Engineering - Department of Immunochemistry , Chereshnev, Valery. A Ural Federal University, Yekaterinburg, Russia - Institute of Chemical Engineering - Department of Immunochemistry
Abstract :
Novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is characterized as a pandemic by WHO. Differential expression analysis takes the normalized read count data and performing statistical analysis to discover quantitative changes in expression levels between experimental groups and give DEGs from functional genomics experiments which depend on the scale and intent of the experiment. Some commonly used technologies are real-time PCR, microarray analysis, next-generation sequencing, and RNA-seq. Our study aimed to look for the differential expressed genes in viral
Keywords :
Genes , Pathogenesis , Respiratory Tract Infection , SAR-CoV-2
