Evidence map›Paper›PMID 29545787›Full record

ArticleFrontiers in microbiology2018

BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa-Function Relationships in Microbiome Data.

Colin P McNally, Alexander Eng, Cecilia Noecker, William C Gagne-Maynard, Elhanan Borenstein

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  6. The Landscape and Perspectives of the Human Gut Metaproteomics.Molecular & cellular proteomics : MCP · 2024
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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

5 authors.

Colin P McNallyDepartment of Genome Sciences, University of Washington, Seattle, WA, United States.
Alexander EngDepartment of Genome Sciences, University of Washington, Seattle, WA, United States.
Cecilia NoeckerDepartment of Genome Sciences, University of Washington, Seattle, WA, United States.
William C Gagne-MaynardInstitute for Health Metrics and Evaluation, Seattle, WA, United States.
Elhanan BorensteinDepartment of Genome Sciences, University of Washington, Seattle, WA, United States.

Funding

INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
A Computational Framework for Designing Microbiome ManipulationDP2AT007802 · NCCIH · UNIVERSITY OF WASHINGTON · PI BORENSTEIN, ELHANAN · 2012 to 2012
$2.3M
NCCIH NIH HHS DP2 AT007802NHGRI NIH HHS T32 HG000035
6 · The paper itself

Abstract

The abundance of both taxonomic groups and gene categories in microbiome samples can now be easily assayed via various sequencing technologies, and visualized using a variety of software tools. However, the assemblage of taxa in the microbiome and its gene content are clearly linked, and tools for visualizing the relationship between these two facets of microbiome composition and for facilitating exploratory analysis of their co-variation are lacking. Here we introduce

Indexed as

data visualizationfunctionmetagenomicsmicrobiometaxonomyweb interface

Identifiers

PMID29545787
PMCPMC5837987

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.