ArticleNucleic acids research2018
DISNOR: a disease network open resource.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
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- A large-scale targeted proteomics of serum and tissue shows the utility of classifying high grade and low grade meningioma tumors.Clinical proteomics · 2023Article
- Exploration and comparison of molecular mechanisms across diseases using MINERVA Net.Protein science : a publication of the Protein Society · 2023Article
- SIGNOR 3.0, the SIGnaling network open resource 3.0: 2022 update.Nucleic acids research · 2023Article
- Identification and quantification of immune infiltration landscape on therapy and prognosis in left- and right-sided colon cancer.Cancer immunology, immunotherapy : CII · 2022Article
- MicroRNAs in Leukemias: A Clinically Annotated Compendium.International journal of molecular sciences · 2022Article
- Integration of single-cell RNA sequencing and bulk RNA sequencing to reveal an immunogenic cell death-related 5-gene panel as a prognostic model for osteosarcoma.Frontiers in immunology · 2022Article
- Exploring biomarkers for prognosis and neoadjuvant chemosensitivity in rectal cancer: Multi-omics and ctDNA sequencing collaboration.Frontiers in immunology · 2022Article
- Article
- Identification and Validation in a Novel Quantification System of Ferroptosis Patterns for the Prediction of Prognosis and Immunotherapy Response in Left- and Right-Sided Colon Cancer.Frontiers in immunology · 2022Article
- The status of causality in biological databases: data resources and data retrieval possibilities to support logical modeling.Briefings in bioinformatics · 2021Article
- Identification of gene signatures and potential therapeutic targets for acquired chemotherapy resistance in gastric cancer patients.Journal of gastrointestinal oncology · 2021Article
- Profiling transcriptomic changes and signaling pathways in atopic dermatitis by integrative analyses on multiple databases.Molecular genetics and genomics : MGG · 2021Article
- Construction of Circulating MicroRNAs-Based Non-invasive Prediction Models of Recurrent Implantation Failure by Network Analysis.Frontiers in genetics · 2021Article
- Assembling Disease Networks From Causal Interaction Resources.Frontiers in genetics · 2021Review
- Towards a unified open access dataset of molecular interactions.Nature communications · 2020Review
- Identification of cancer stem cell characteristics in liver hepatocellular carcinoma by WGCNA analysis of transcriptome stemness index.Cancer medicine · 2020Article
- SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update.Nucleic acids research · 2020Article
- CancerGeneNet: linking driver genes to cancer hallmarks.Nucleic acids research · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DISNOR is a new resource that aims at exploiting the explosion of data on the identification of disease-associated genes to assemble inferred disease pathways. This may help dissecting the signaling events whose disruption causes the pathological phenotypes and may contribute to build a platform for precision medicine. To this end we combine the gene-disease association (GDA) data annotated in the DisGeNET resource with a new curation effort aimed at populating the SIGNOR database with causal interactions related to disease genes with the highest possible coverage. DISNOR can be freely accessed at http://DISNOR.uniroma2.it/ where >3700 disease-networks, linking ∼2600 disease genes, can be explored. For each disease curated in DisGeNET, DISNOR links disease genes by manually annotated causal relationships and offers an intuitive visualization of the inferred 'patho-pathways' at different complexity levels. User-defined gene lists are also accepted in the query pipeline. In addition, for each list of query genes-either annotated in DisGeNET or user-defined-DISNOR performs a gene set enrichment analysis on KEGG-defined pathways or on the lists of proteins associated with the inferred disease pathways. This function offers additional information on disease-associated cellular pathways and disease similarity.
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Registered trials
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