ArticleNucleic acids research2018
iPath3.0: interactive pathways explorer v3.
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 156 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
156 citing papers in PubMed.
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- Complete genome sequence of a Methylomonas sp. nov. 2F7 isolated from rice paddy soil in South Korea.BMC genomic data · 2026Article
- Microbiota dysbiosis influences immune system and muscle pathophysiology of dystrophin deficient mice.EMBO molecular medicine · 2026Article
- Isolation, Functional Screening, and Genomic Characterization of a Potential Probiotic Lactiplantibacillus Plantarum MP49 from Traditionally Fermented Bamboo Shoots of Tripura, India.Probiotics and antimicrobial proteins · 2026Article
- Diversion of Arginine's dietary metabolic fate in proteinuric kidney disease.Research square · 2026Article
- Lutein biosynthesis and pigment dynamics in a partially chlorophyll-deficient mutant of Chlorella sp. under autotrophic, mixotrophic, and heterotrophic cultivation.Biotechnology for biofuels and bioproducts · 2026Article
- Transcriptome and 16S rRNA Amplicon Sequencing Analysis of Nutrition Metabolism in Silver Pomfret at Varying Flow Rates.Animals : an open access journal from MDPI · 2026Article
- Temporal Metabolomics Profiling Reveals Liver Metabolic Control in Single and Repeated Exhaustive Exercise in Murine Models.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
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- Sub-daily virus sampling at the Bermuda Atlantic Time Series reveals diel and depth-structured population dynamics without community-level shifts.PLoS biology · 2026Article
- Transcriptome of Coxiella-like endosymbionts in Haemaphysalis longicornis during blood feeding.The Journal of veterinary medical science · 2026Article
- Mass spectrometry imaging tutorial: From cancer biomarker discovery to clinical applications.Analytica chimica acta · 2026Review
- Metabolomic insights into associations between adiposity markers and liver cancer risk: Results from a prospective cohort study and Mendelian randomization analysis.PLoS medicine · 2026Article
- Sotagliflozin Enhances Left Ventricular Function and Myocardial Perfusion in Chronic Myocardial Ischemia Through Metabolic and Redox Remodeling.Arteriosclerosis, thrombosis, and vascular biology · 2026Article
- Reduced glutathione levels inmSystems · 2026Article
- Motile and non-motile Listeria species adopt distinct ecological and evolutionary strategies to achieve broad geographic ranges across soil ecosystems.The ISME journal · 2026Article
96 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
iPath3.0 (http://pathways.embl.de) is a web-application for the visualization and analysis of cellular pathways. It is freely available and open to everyone. Currently it is based on four KEGG global maps, which summarize up to 158 traditional KEGG pathway maps, 192 KEGG modules and other metabolic elements into one connected and manually curated metabolic network. Users can fully customize these networks and interactively explore them through its redesigned, fast and lightweight interface, which highlights general metabolic trends in multi-omics data. It also offers navigation at various levels of details to help users further investigate those trends and ultimately uncover novel biological insights. Support for multiple experimental conditions and time-series datasets, tools for generation of customization data, programmatic access, and a free user accounts system were introduced in this version to further streamline its workflow.
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Identifiers
What OpenQuestion holds
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.