Evidence map›Paper›PMID 41800387›Full record

ArticleBioinformatics advances2026

OmniCorr: an R-package for visualizing putative host-microbiome interactions using multi-omics data.

Shashank Gupta, Veronica Quarato, Wanxin Lai, Carl M Kobel, Velma T E Aho, Arturo Vera-Ponce de León, Sabina Leanti La Rosa, Simen R Sandve, Phillip B Pope, Torgeir R Hvidsten

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In one paragraph

Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Shashank GuptaFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.ORCID https://orcid.org/0000-0001-8839-7003
Veronica QuaratoFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.ORCID https://orcid.org/0009-0008-4049-9746
Wanxin LaiFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.
Carl M KobelFaculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Velma T E AhoFaculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Arturo Vera-Ponce de LeónFaculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Sabina Leanti La RosaFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.
Simen R SandveFaculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Phillip B PopeFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.ORCID https://orcid.org/0000-0002-2067-4059
Torgeir R HvidstenFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.ORCID https://orcid.org/0000-0001-6097-2539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Holo-omics leverages omics datasets to explore the interactions between hosts and their associated microbiomes. Although the generation of omics data from matching host and microbiome samples is steadily increasing, there remains a scarcity of computational tools capable of integrating and visualizing this data to facilitate the prediction and interpretation of host-microbiome interactions. We present

Identifiers

PMID41800387
PMCPMC12961270

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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.