ArticleiMetaOmics2026
Ragomics-Meta: An open-source, scalable, reproducible, and extensible multi-omics analysis workflow.
Article in iMetaOmics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ragomics-Meta is an open-source, scalable, and reproducible multi-omics workflow for metabolism-centered analysis (https://www.raganetwork.com/). It integrates scRNA/snRNA-seq, spatial transcriptomics, scATAC-seq, and metabolomics modules to support quality control, dimensionality reduction, clustering, differential expression and accessibility analyses, pathway activity scoring, cell-cell communication inference, transcription-factor network analysis, and spatial metabolism exploration. By incorporating established tools such as Scanpy, Seurat, Squidpy, COMMOT, SnapATAC2, MEBOCOST, scMetabolism, AUCell, and a curated gutMGene-based resource, Ragomics-Meta enables systematic characterization of tumor metabolic programs and host-microbiome interactions. AI-assisted interpretation further facilitates biological annotation and hypothesis generation, providing a user-friendly framework for integrative single-cell and spatial multi-omics analysis.
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.