Evidence map›Paper›PMID 32494636›Full record

ArticleScience advances2020

Metagenomic growth rate inferences of strains in situ.

Akintunde Emiola, Wei Zhou, Julia Oh

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. DistinctbioRxiv : the preprint server for biology · 2024
    Article
  6. Pangenomic analysis identifies correlations betweenMicrobiome research reports · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Parapatric speciation ofFrontiers in microbiology · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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

3 authors.

Akintunde EmiolaThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.ORCID 0000-0003-4365-7339
Wei ZhouThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
Julia OhThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.ORCID 0000-0002-5534-7023

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Anna Karolina Palucka · 1985 to 2026
$61.9M
Technology Development Project - Increasing the complexity of ex vivo human airway models for studying immune response to viral infectionU19AI142733 · NIAID · JACKSON LABORATORY · PI Adolfo Garcia-Sastre, Anna Karolina Palucka · 2019 to 2026
$23.1M
Topological Mapping of Immune, Microbiota, Metabolomic and Clinical Phenotypes to Reveal ME/CFS Disease Mechanisms - Clinical Research ProjectU54NS105539 · NINDS · JACKSON LABORATORY · PI UNUTMAZ, DERYA · 2017 to 2022
$10.6M
Metagenomes to Therapeutics: Defining the Rules for Engineering the Skin MicrobiomeDP2GM126893 · NIGMS · JACKSON LABORATORY · PI OH, JULIA · 2017 to 2017
$2.8M
Skin Microbiome of Monogenic Skin DisordersR21AR075174 · NIAMS · JACKSON LABORATORY · PI OH, JULIA · 2019 to 2022
$466k
Community organizing: Harnessing the interactions of the microbiome as a basis for novel therapeutic strategiesK22AI119231 · NIAID · JACKSON LABORATORY · PI OH, JULIA · 2016 to 2017
$270k
Bioengineered skin microbiota for cutaneous mitigation of Netherton SyndromeR43AR073562 · NIAMS · AZITRA, INC. · PI OH, JULIA, WHITFILL, TRAVIS · 2018 to 2018
$225k
NCI NIH HHS P30 CA034196NIAID NIH HHS K22 AI119231NIAID NIH HHS U19 AI142733NIAMS NIH HHS R21 AR075174NIAMS NIH HHS R43 AR073562NIGMS NIH HHS DP2 GM126893NINDS NIH HHS U54 NS105539
6 · The paper itself

Abstract

We developed a method for strain-level metagenomic estimation of growth rate (SMEG) for inferring growth rates of bacterial subspecies, or strains, from complex metagenomic samples. We applied our method, which is based on both reference strains and de novo approaches, to different gut metagenomic datasets, accurately identifying an outbreak-associated

Identifiers

PMID32494636
PMCPMC7176420

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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.