Evidence map›Paper›PMID 29529268›Full record

ArticleNucleic acids research2018

Metaviz: interactive statistical and visual analysis of metagenomic data.

Justin Wagner, Florin Chelaru, Jayaram Kancherla, Joseph N Paulson, Alexander Zhang, Victor Felix, Anup Mahurkar, Niklas Elmqvist, Héctor Corrada Bravo

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 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

27 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Article
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  8. Review
  9. Multi-View Design Patterns and Responsive Visualization for Genomics Data.IEEE transactions on visualization and computer graphics · 2023
    Review
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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

9 authors.

Justin WagnerDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA.
Florin ChelaruDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA.
Jayaram KancherlaCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.
Joseph N PaulsonDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Alexander ZhangDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA.
Victor FelixInstitute for Genome Sciences, University of Maryland, Baltimore, MD 21201, USA.
Anup MahurkarInstitute for Genome Sciences, University of Maryland, Baltimore, MD 21201, USA.
Niklas ElmqvistUniversity of Maryland Institute for Advanced Computer Studies, College Park, MD 20742, USA.
Héctor Corrada BravoDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA.

Funding

Integrative Visual and Computational Exploratory Analysis of Genomics DataR01GM114267 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI CORRADA BRAVO, HECTOR · 2015 to 2018
$1.8M
NIGMS NIH HHS R01 GM114267
6 · The paper itself

Abstract

Large studies profiling microbial communities and their association with healthy or disease phenotypes are now commonplace. Processed data from many of these studies are publicly available but significant effort is required for users to effectively organize, explore and integrate it, limiting the utility of these rich data resources. Effective integrative and interactive visual and statistical tools to analyze many metagenomic samples can greatly increase the value of these data for researchers. We present Metaviz, a tool for interactive exploratory data analysis of annotated microbiome taxonomic community profiles derived from marker gene or whole metagenome shotgun sequencing. Metaviz is uniquely designed to address the challenge of browsing the hierarchical structure of metagenomic data features while rendering visualizations of data values that are dynamically updated in response to user navigation. We use Metaviz to provide the UMD Metagenome Browser web service, allowing users to browse and explore data for more than 7000 microbiomes from published studies. Users can also deploy Metaviz as a web service, or use it to analyze data through the metavizr package to interoperate with state-of-the-art analysis tools available through Bioconductor. Metaviz is free and open source with the code, documentation and tutorials publicly accessible.

Indexed as

BacteriaChildComputational BiologyDiarrheaHumansInternetMetagenomeMetagenomicsReproducibility of ResultsWeb BrowserWhole Genome Sequencing

Identifiers

PMID29529268
PMCPMC5887897

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.