Evidence map›Paper›PMID 41019634›Full record

ArticlebioRxiv : the preprint server for biology2023

JAMS - A framework for the taxonomic and functional exploration of microbiological genomic data.

John A McCulloch, Jonathan H Badger, Nikki Cannon, Richard R Rodrigues, Michael Valencia, Jennifer J Barb, Miriam R Fernandes, Ascharya Balaji, Lisa Crowson, Colm O'hUigin and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

12 authors.

John A McCullochLaboratory of Integrative Cancer Immunology, Cancer Immunobiology Section, Center for Cancer Research, National Cancer Institute, Bethesda, MD.ORCID 0000-0001-7107-6561
Jonathan H BadgerLaboratory of Integrative Cancer Immunology, Cancer Immunobiology Section, Center for Cancer Research, National Cancer Institute, Bethesda, MD.ORCID 0000-0002-5662-423X
Nikki CannonLaboratory of Integrative Cancer Immunology, Cancer Immunobiology Section, Center for Cancer Research, National Cancer Institute, Bethesda, MD.ORCID 0000-0001-7678-8146
Richard R RodriguesGenetics and Microbiome Core, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD.ORCID 0000-0003-3985-3003
Michael ValenciaTranslational Biobehavioral and Health Disparities Branch, National Institutes of Health Clinical Center, Bethesda, MD.ORCID 0000-0002-8689-6949
Jennifer J BarbTranslational Biobehavioral and Health Disparities Branch, National Institutes of Health Clinical Center, Bethesda, MD.ORCID 0000-0003-3022-0154
Miriam R FernandesLaboratory of Integrative Cancer Immunology, Cancer Immunobiology Section, Center for Cancer Research, National Cancer Institute, Bethesda, MD.ORCID 0000-0001-6570-0946
Ascharya BalajiLaboratory of Integrative Cancer Immunology, Cancer Immunobiology Section, Center for Cancer Research, National Cancer Institute, Bethesda, MD.ORCID 0000-0003-1382-5864
Lisa CrowsonLaboratory of Integrative Cancer Immunology, Cancer Immunobiology Section, Center for Cancer Research, National Cancer Institute, Bethesda, MD.ORCID 0000-0002-7702-7717
Colm O'hUiginGenetics and Microbiome Core, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD.ORCID 0000-0001-5404-5173
Amiran DzutsevLaboratory of Integrative Cancer Immunology, Cancer Immunobiology Section, Center for Cancer Research, National Cancer Institute, Bethesda, MD.ORCID 0000-0003-0749-4149
Giorgio TrinchieriLaboratory of Integrative Cancer Immunology, Cancer Immunobiology Section, Center for Cancer Research, National Cancer Institute, Bethesda, MD.ORCID 0000-0001-5892-7464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shotgun microbiome sequencing analysis presents several challenges to accurately and consistently depict sample composition and functional potential. Here we present a two-part framework - JAMS (Just a Microbiology System) - whereby with raw fastq files and metadata as input, meaningful analysis within a sample and between a sample can be performed with ease for either shotgun or 16S sequences. JAMS is the first package to provide seamless deconvolution of functions into their taxonomic contributors. We validated our JAMS framework on two human gut shotgun metagenome test datasets against the popular tool MetaPhlAn 4. We further demonstrate the application of the JAMS package, particularly the plotting functions, on a mouse shotgun dataset.

Identifiers

PMID41019634
PMCPMC12467225

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Registered trials

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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.