Evidence map›Paper›PMID 37166960›Full record

ArticleNucleic acids research2023

MicrobiomeAnalyst 2.0: comprehensive statistical, functional and integrative analysis of microbiome data.

Yao Lu, Guangyan Zhou, Jessica Ewald, Zhiqiang Pang, Tanisha Shiri, Jianguo Xia

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 353 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
353citing papers in PubMed, 1 pooled it
–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

353 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Supplementation withThe veterinary quarterly · 2026
    Article
  8. Article
  9. Gut microbes · 2026
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293 more citing papers are in PubMed but not listed here.

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

6 authors.

Yao LuDepartment of Microbiology and Immunology, McGill University, Quebec, Canada.
Guangyan ZhouInstitute of Parasitology, McGill University, Quebec, Canada.
Jessica EwaldInstitute of Parasitology, McGill University, Quebec, Canada.ORCID 0000-0002-7555-736X
Zhiqiang PangInstitute of Parasitology, McGill University, Quebec, Canada.
Tanisha ShiriInstitute of Parasitology, McGill University, Quebec, Canada.
Jianguo XiaDepartment of Microbiology and Immunology, McGill University, Quebec, Canada.ORCID 0000-0003-2040-2624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiome studies have become routine in biomedical, agricultural and environmental sciences with diverse aims, including diversity profiling, functional characterization, and translational applications. The resulting complex, often multi-omics datasets demand powerful, yet user-friendly bioinformatics tools to reveal key patterns, important biomarkers, and potential activities. Here we introduce MicrobiomeAnalyst 2.0 to support comprehensive statistics, visualization, functional interpretation, and integrative analysis of data outputs commonly generated from microbiome studies. Compared to the previous version, MicrobiomeAnalyst 2.0 features three new modules: (i) a Raw Data Processing module for amplicon data processing and taxonomy annotation that connects directly with the Marker Data Profiling module for downstream statistical analysis; (ii) a Microbiome Metabolomics Profiling module to help dissect associations between community compositions and metabolic activities through joint analysis of paired microbiome and metabolomics datasets; and (iii) a Statistical Meta-Analysis module to help identify consistent signatures by integrating datasets across multiple studies. Other important improvements include added support for multi-factor differential analysis and interactive visualizations for popular graphical outputs, updated methods for functional prediction and correlation analysis, and expanded taxon set libraries based on the latest literature. These new features are demonstrated using a multi-omics dataset from a recent type 1 diabetes study. MicrobiomeAnalyst 2.0 is freely available at microbiomeanalyst.ca.

Indexed as

Computational BiologyMicrobiological TechniquesMicrobiotaBiomarkersInternetMetabolomicsUser-Computer InterfaceBiomarkers

Identifiers

PMID37166960
PMCPMC10320150

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.