Article

Organizing knowledge to enable faster data interpretation in COVID-19 research

2021-07-30

Abstract excerpt

Enormous volumes of COVID-19 research data have been published and this continues to increase daily. This creates challenges for researchers to interpret, prioritize and summarize their own findings in the context of published literature, clinical trials, and a multitude of databases. Overcoming the data interpretation bottleneck is vital to help researchers to be more efficient in their quest to identify COVID-19...

Topics

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

Identifiers and source

Literature Corpus work: 0724ddad-8260-5098-b5a7-dabe4d1f4b6a
DOI: 10.12688/f1000research.54071.1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Organizing knowledge to enable faster data interpretation in COVID-19 researchDOI 10.12688/f1000research.54071.1Read

Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology.Semantic proximity Read

Text and Network-Mining for COVID-19 Intervention StudiesSemantic proximity Read

Building a knowledge graph to enable precision medicineSemantic proximity Read

Clinical Knowledge Graph Integrates Proteomics Data into Clinical Decision-MakingSemantic proximity Read

A Large-Scale Pharmacogenomic Knowledge Graph for Drug-Gene-Variant-Disease DiscoverySemantic proximity Read

A comprehensive large scale biomedical knowledge graph for AI powered data driven biomedical researchSemantic proximity Read

CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph RepresentationsSemantic proximity Read

Literome: PubMed-scale genomic knowledge base in the cloud.Semantic proximity Read

IID-KG: An ontology-aligned literature-derived knowledge graph for infectious and immune-mediated diseasesSemantic proximity Read

Ignet 2.0 and Vignet: An Ontology-Driven Web Platform for Biomedical Gene Interaction Discovery and VisualizationSemantic proximity Read

An Integrated Pipeline for Phenotypic Characterization, Clustering and Visualization of Patient Cohorts in a Rare Disease-Oriented Clinical Data Warehouse.Semantic proximity Read

DISGENET: Accelerating Data-Driven Discovery in Disease Genomics and Therapeutic DevelopmentSemantic proximity Read