ArticleNucleic acids research2020
MetagenoNets: comprehensive inference and meta-insights for microbial correlation networks.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Altered Salivary Microbiota Following Bifidobacterium animalis Subsp. Lactis BL-11 Supplementation Are Associated with Anthropometric Growth and Social Behavior Severity in Individuals with Prader-Willi Syndrome.Probiotics and antimicrobial proteins · 2022Trial
- Microbial Omics.Progress in molecular and subcellular biology · 2026Review
- Comprehensive insight into gut microbiota and their interaction with fatty acid profiles in Channa striata during the spawning season.Scientific reports · 2025Article
- The combination of dietary active dry yeast andAnimal nutrition (Zhongguo xu mu shou yi xue hui) · 2025Article
- Application of fungal inoculants enhances colonization of secondary bacterial degraders during in situ paddy straw degradation: a genomic insights into cross-domain synergism.International microbiology : the official journal of the Spanish Society for Microbiology · 2025Article
- Sex-specific gut microbiome dynamics inFrontiers in microbiology · 2025Article
- Characterization of antibiotic resistance genes in soils from agroecosystems of the Brazilian Amazon.Frontiers in microbiology · 2025Article
- The Staphylococcus aureus-antagonizing human nasal commensal Staphylococcus lugdunensis depends on siderophore piracy.Microbiome · 2024Article
- Article
- The MTIST platform: a microbiome time series inference standardized test.Research square · 2024Article
- Organic farming promotes the abundance of fungi keystone taxa in bacteria-fungi interkingdom networks.World journal of microbiology & biotechnology · 2024Article
- Article
- Inferring Bacterial Community Interactions and Functionalities Associated with Osteopenia and Osteoporosis in Taiwanese Postmenopausal Women.Microorganisms · 2023Article
- Perturbed gut microbiome and fecal and serum metabolomes are associated with chronic kidney disease severity.Microbiome · 2023Article
- Core microbiota of wheat rhizosphere under Upper Indo-Gangetic plains and their response to soil physicochemical properties.Frontiers in plant science · 2023Article
- Environmental Perturbations during the Rehabilitation of Wild Migratory Birds Induce Gut Microbiome Alteration and Antibiotic Resistance Acquisition.Microbiology spectrum · 2022Article
- The coral pathogen Vibrio coralliilyticus kills non-pathogenic holobiont competitors by triggering prophage induction.Nature ecology & evolution · 2022Article
- Article
- Metagenomic Characterization of Resistance Genes in Deception Island and Their Association with Mobile Genetic Elements.Microorganisms · 2022Article
- Interactions between Human Gut Microbiome Dynamics and Sub-Optimal Health Symptoms during Seafaring Expeditions.Microbiology spectrum · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial association networks are frequently used for understanding and comparing community dynamics from microbiome datasets. Inferring microbial correlations for such networks and obtaining meaningful biological insights, however, requires a lengthy data management workflow, choice of appropriate methods, statistical computations, followed by a different pipeline for suitably visualizing, reporting and comparing the associations. The complexity is further increased with the added dimension of multi-group 'meta-data' and 'inter-omic' functional profiles that are often associated with microbiome studies. This not only necessitates the need for categorical networks, but also integrated and bi-partite networks. Multiple options of network inference algorithms further add to the efforts required for performing correlation-based microbiome interaction studies. We present MetagenoNets, a web-based application, which accepts multi-environment microbial abundance as well as functional profiles, intelligently segregates 'continuous and categorical' meta-data and allows inference as well as visualization of categorical, integrated (inter-omic) and bi-partite networks. Modular structure of MetagenoNets ensures logical flow of analysis (inference, integration, exploration and comparison) in an intuitive and interactive personalized dashboard driven framework. Dynamic choice of filtration, normalization, data transformation and correlation algorithms ensures, that end-users get a one-stop solution for microbial network analysis. MetagenoNets is freely available at https://web.rniapps.net/metagenonets.
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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.