Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

COVID19db: a comprehensive database platform to discover potential drugs and targets of COVID-19 at whole transcriptomic scale

11 Sept 2021

Abstract excerpt

Many open access transcriptomic data of coronavirus disease 2019 (COVID-19) were generated, they have great heterogeneity and are difficult to analyze. To utilize these invaluable data for better understanding of COVID-19, additional software should be developed. Especially for researchers without bioinformatic skills, a user-friendly platform is mandatory. We developed the COVID19db platform...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to COVID-19 Clinical Research Studies
Share to SARS-CoV-2 and COVID-19 Research
Share to SARS-CoV-2 detection and testing

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34554255
DOI: 10.1093/nar/gkab850

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 9 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

COVID19db: a comprehensive database platform to discover potential drugs and targets of COVID-19 at whole transcriptomic scalePMID 34554255Read ↗

COVID-19 Transcriptomic Atlas: A Comprehensive Analysis of COVID-19 Related Transcriptomics DatasetsSemantic proximity Read ↗

Deciphering Novel SARS CoV-2 specific Disease Pathways from RNA Sequencing Data of COVID-19 Infected A549 Cells and Potential Therapeutics using Next Generation Knowledge Discovery PlatformsSemantic proximity Read ↗

COVID-19: A Drug Repurposing and Biomarker Identification by Using Comprehensive Gene-Disease Associations through Protein-Protein Interaction Network AnalysisSemantic proximity Read ↗

The COVID-19 Gene and Drug Set LibrarySemantic proximity Read ↗

In silico Drug Repurposing to combat COVID-19 based on Pharmacogenomics of Patient Transcriptomic DataSemantic proximity Read ↗

The COVID-19 Gene and Drug Set LibrarySemantic proximity Read ↗

Global multi-omics and systems pharmacological strategy unravel the multi-targeted therapeutic potential of natural bioactive molecules against COVID-19: An in silico approachSemantic proximity Read ↗

Identifying potential novel insights for COVID-19 pathogenesis and therapeutics using an integrated bioinformatics analysis of host transcriptomeSemantic proximity Read ↗

Identification of candidate repurposable drugs to combat COVID-19 using a signature-based approachSemantic proximity Read ↗

Application of omics technology to combat the COVID‐19 pandemicSemantic proximity Read ↗

Modeling COVID-19 disease biology to identify drug treatment candidatesSemantic proximity Read ↗

A versatile and interoperable computational framework for the analysis and modeling of COVID-19 disease mechanismsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.