ArticleNucleic acids research2021
iNetModels 2.0: an interactive visualization and database of multi-omics data.
Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Multi-omics characterization of improved cognitive functions in Parkinson's disease patients after the combined metabolic activator treatment: a randomized, double-blinded, placebo-controlled phase II trial.Brain communications · 2025Trial
- Combined metabolic activators improve cognitive functions in Alzheimer's disease patients: a randomised, double-blinded, placebo-controlled phase-II trial.Translational neurodegeneration · 2023Trial
- Combined metabolic activators therapy ameliorates liver fat in nonalcoholic fatty liver disease patients.Molecular systems biology · 2021Trial
- Article
- Assessing current capabilities for incorporating lipidomics in multiomics data integration.Briefings in bioinformatics · 2026Review
- Integrative bioinformatics and molecular simulations identify HMGB3 as a key immune modulator in triple negative breast cancer.Discover oncology · 2026Article
- Longitudinal big biological data in the AI era.Molecular systems biology · 2025Review
- Global and tissue-specific transcriptomic dysregulation in human aging: Pathways and predictive biomarkers.GeroScience · 2025Article
- Utilizing rat kidney gene co-expression networks to enhance safety assessment biomarker identification and human translation.iScience · 2025Article
- Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025Review
- Identifying Hub Genes and Metabolic Pathways in Collagen VI-Related Dystrophies: A Roadmap to Therapeutic Intervention.Biomolecules · 2024Article
- Discovery of a Therapeutic Agent for Glioblastoma Using a Systems Biology-Based Drug Repositioning Approach.International journal of molecular sciences · 2024Article
- Article
- Remodeling of the human skeletal muscle proteome found after long-term endurance training but not after strength training.iScience · 2024Article
- Methods for multi-omic data integration in cancer research.Frontiers in genetics · 2024Review
- Molecular profiling of high-level athlete skeletal muscle after acute endurance or resistance exercise - A systems biology approach.Molecular metabolism · 2024Article
- Data-driven transcriptomics analysis identifies PCSK9 as a novel key regulator in liver aging.GeroScience · 2023Article
- Illuminating the oral microbiome and its host interactions: recent advancements in omics and bioinformatics technologies in the context of oral microbiome research.FEMS microbiology reviews · 2023Review
- Small molecule metabolites: discovery of biomarkers and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- GeneFriends: gene co-expression databases and tools for humans and model organisms.Nucleic acids research · 2023Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
It is essential to reveal the associations between various omics data for a comprehensive understanding of the altered biological process in human wellness and disease. To date, very few studies have focused on collecting and exhibiting multi-omics associations in a single database. Here, we present iNetModels, an interactive database and visualization platform of Multi-Omics Biological Networks (MOBNs). This platform describes the associations between the clinical chemistry, anthropometric parameters, plasma proteomics, plasma metabolomics, as well as metagenomics for oral and gut microbiome obtained from the same individuals. Moreover, iNetModels includes tissue- and cancer-specific Gene Co-expression Networks (GCNs) for exploring the connections between the specific genes. This platform allows the user to interactively explore a single feature's association with other omics data and customize its particular context (e.g. male/female specific). The users can also register their data for sharing and visualization of the MOBNs and GCNs. Moreover, iNetModels allows users who do not have a bioinformatics background to facilitate human wellness and disease research. iNetModels can be accessed freely at https://inetmodels.com without any limitation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.