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Everything about DisGeNET
Genetic data platform
DISGENET is an AI-ready translational knowledge infrastructure that integrates comprehensive information on human genotype–phenotype relationships, including gene–disease, variant–disease, and disease–disease associations. Developed since 2010 and commercialised by MedBioInformatics Solutions, a Barcelona-based techbio company, the platform is widely used in biomedical research, drug discovery, and clinical genomics. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: DisGeNETA 5-minute orientation
- Skim a recent paper: Expression of Concern: DisGeNet: a disease-centric interaction database among diseases and various associated genesInfluential work since 2022
- Read the landmark paper: DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variantsCited 2,425 times
- Go sideways: Gene–disease databaseA closely related topic
- Go sideways: Ken Chen (computational biologist)A closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants
The DisGeNET knowledge platform for disease genomics: 2019 update
DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes
The DisGeNET cytoscape app: Exploring and visualizing disease genomics data
DisGeNET: a Cytoscape plugin to visualize, integrate, search and analyze gene–disease networks
DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases
DisGeNet: a disease-centric interaction database among diseases and various associated genes
Potential Mechanisms of Guizhi Fuling Wan in Treating Endometriosis: An Analysis Based on TCMSP and DisGeNET Databases
🆕 Influential since 2022
📚 Books worth reading
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🔗 Related topics
- Gene–disease database In bioinformatics, a gene–disease database is a systematized collection of data, typically structured to model aspects of reality, in a way to comprehend…
- Ken Chen (computational biologist) Ken Chen is a computational biologist whose work spans cancer genomics, single-cell transcriptomics, and computational oncology. He is a tenured professor…
- Biomedical data science Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data…
- Translational bioinformatics Translational bioinformatics (TBI) is a field that emerged in the 2010s to study health informatics, focused on the convergence of molecular bioinformatics…
- Biocuration Biocuration is the field of life sciences dedicated to organizing biomedical data, information and knowledge into structured formats, such as spreadsheets…
- Computational biology Computational biology is a interdisciplinary field involving the study of biological systems through the application of computer science, data analysis…
- Aviv Regev Aviv Regev (אביב רגב; born 11 July 1971) is an Israeli-American computational and systems biologist whose research has focused on gene-regulatory networks…
- Network medicine Network medicine is the application of network science towards identifying, preventing, and treating diseases. This field focuses on using network topology…