Article

Bioinformatics analysis of expression profiling by high throughput sequencing for identification of potential key genes among SARS-CoV-2/COVID 19

2021-01-04

Abstract excerpt

<title>Abstract</title> <p>Severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) is pandemic recently emerged and is rapidly spreading in humans. However, the precise molecular mechanisms of the advancement and progression of SARS-CoV-2 infection remain unclear. The current investigation attempted to identify and functionally analyze the differentially expressed genes (DEGs) between SARS-CoV-2 infection a...

Topics

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

Identifiers and source

Literature Corpus work: 26fbe33d-1ba8-5cf5-8fd0-75e1ef773fc3
DOI: 10.21203/rs.3.rs-122015/v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Bioinformatics analysis of expression profiling by high throughput sequencing for identification of potential key genes among SARS-CoV-2/COVID 19DOI 10.21203/rs.3.rs-122015/v2Read

Identification of potential mRNA panels for severe acute respiratory syndrome coronavirus 2 (COVID-19) diagnosis and treatment using microarray dataset and bioinformatics methodsSemantic proximity Read

Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in severe acute respiratory syndrome corona virus 2 infection/COVID 19Semantic proximity Read

Host transcriptome alterations in vitro and in vivo following severe acute respiratory syndrome coronavirus 2 infectionSemantic proximity Read

Molecular signatures in the progression of COVID-19 severitySemantic proximity Read

Bioinformatics analysis of single-cell mRNA-seq of SARS-CoV-1 and SARS-CoV-2 infection compared to MERS-CoV from Sequence Read Archive (SRA) database reveals novel targets for therapiesSemantic proximity Read

Identification of key genes in SARS-CoV-2 patients on bioinformatics analysisSemantic proximity Read

Meta-Data Analysis to Explore the Hub of the Hub-Genes That Influence SARS-CoV-2 Infections Highlighting Their Pathogenetic Processes and Drugs RepurposingSemantic proximity Read

Identification of potential biomarkers and inhibitors for SARS-CoV-2 infectionSemantic proximity Read

Transcriptome and SARS-CoV-2 biological network directed analysis for better therapeutic developmentSemantic proximity Read

Secondary analysis of transcriptomes of SARS-CoV-2 infection models to characterize COVID-19Semantic proximity Read

Comparative transcriptome analysis of SARS-CoV, MERS-CoV, and SARS-CoV-2 to identify potential pathways for drug repurposingSemantic proximity Read

Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: insights from machine learning and bioinformatics approachesSemantic proximity Read