ArticleFrontiers in genetics2019
webCEMiTool: Co-expression Modular Analysis Made Easy.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- ACE2 Expression Is Increased in the Lungs of Patients With Comorbidities Associated With Severe COVID-19.The Journal of infectious diseases · 2020Pooled it
- Metabolite coupling analysis and metabolite-flux coupling analysis of genome-scale metabolic models.Frontiers in bioinformatics · 2026Article
- Role of Epigenetic Factors in Determining the Biological Behavior and Prognosis of Hepatocellular Carcinoma.Diagnostics (Basel, Switzerland) · 2024Article
- In silico genome wide identification of long non-coding RNAs differentially expressed during Candida auris host pathogenesis.Archives of microbiology · 2024Article
- Integration of artificial intelligence and multi-omics in kidney diseases.Fundamental research · 2023Review
- Genotypes ofFrontiers in plant science · 2023Article
- Multi-Omics Approaches and Resources for Systems-Level Gene Function Prediction in the Plant Kingdom.Plants (Basel, Switzerland) · 2022Review
- Approaches in Gene Coexpression Analysis in Eukaryotes.Biology · 2022Review
- Gene Co-Expression Network Tools and Databases for Crop Improvement.Plants (Basel, Switzerland) · 2022Review
- Perspectives in systems nephrology.Cell and tissue research · 2021Review
- Serial co-expression analysis of host factors from SARS-CoV viruses highly converges with former high-throughput screenings and proposes key regulators.Briefings in bioinformatics · 2021Article
- Transcriptomic analysis of human brains with Alzheimer's disease reveals the altered expression of synaptic genes linked to cognitive deficits.Brain communications · 2021Article
- ACE2 Expression is Increased in the Lungs of Patients with Comorbidities Associated with Severe COVID-19.medRxiv : the preprint server for health sciences · 2020Article
- TheFrontiers in plant science · 2020Article
- Leveraging User-Friendly Network Approaches to Extract Knowledge From High-ThroughputFrontiers in genetics · 2019Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Co-expression analysis has been widely used to elucidate the functional architecture of genes under different biological processes. Such analysis, however, requires substantial knowledge about programming languages and/or bioinformatics skills. We present webCEMiTool, a unique online tool that performs comprehensive modular analyses in a fully automated manner. The webCEMiTool not only identifies co-expression gene modules but also performs several functional analyses on them. In addition, webCEMiTool integrates transcriptomic data with interactome information (i.e., protein-protein interactions) and identifies potential hubs on each network. The tool generates user-friendly html reports that allow users to search for specific genes in each module, as well as check if a module contains genes overrepresented in specific pathways or altered in a specific sample phenotype. We used webCEMiTool to perform a modular analysis of single-cell RNA-seq data of human cells infected with either Zika virus or dengue virus.
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