ArticleiMeta2026
Wekemo Bioincloud 2026: An AI-enabled platform for standardized multi-omics data analyses.
Article in iMeta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid expansion of multi-omics data has created an increasing demand for accessible and reproducible platforms for integrative analysis. Here, we present Wekemo Bioincloud 2026, a comprehensive upgrade of the original platform, providing 41 standardized workflows (expanded from 22) across nine analytical categories, including a newly introduced correlation analysis module for cross-omics association studies. Visualization capabilities have been substantially expanded to 126 tools (from 65), incorporating artificial intelligence (AI)-guided parameter selection and automated image interpretation to enhance data exploration and result interpretability. In addition, Wekemo Bioincloud 2026 integrates an AI-powered research platform that supports the full research lifecycle, including automated literature synthesis, hypothesis generation, intelligent question answering, experimental design, and journal recommendation. Together, these advances reduce technical barriers, improve reproducibility and interpretability, and enable end-to-end AI-assisted multi-omics research. The platform is freely accessible at https://www.bioincloud.tech/ and supports a broad range of biological and biomedical applications.
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Identifiers
What Socratic 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 Socratic graph.