Evidence map›Paper›PMID 29940835›Full record

ArticleBMC genomics2018

WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data.

Joseph C Devlin, Thomas Battaglia, Martin J Blaser, Kelly V Ruggles

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

4 authors.

Joseph C DevlinSackler Institute of Graduate Biomedical Sciences, New York School of Medicine, New York, NY, USA.
Thomas BattagliaDivision of Translational Medicine, Department of Medicine, New York School of Medicine, New York, NY, USA.
Martin J BlaserDivision of Translational Medicine, Department of Medicine, New York School of Medicine, New York, NY, USA.
Kelly V RugglesSackler Institute of Graduate Biomedical Sciences, New York School of Medicine, New York, NY, USA. kelly.ruggles@nyumc.org.ORCID http://orcid.org/0000-0002-0152-0863

Funding

Foundation for the National Institutes of Health U01 AI22285
6 · The paper itself

Abstract

backgroundExploration of large data sets, such as shotgun metagenomic sequence or expression data, by biomedical experts and medical professionals remains as a major bottleneck in the scientific discovery process. Although tools for this purpose exist for 16S ribosomal RNA sequencing analysis, there is a growing but still insufficient number of user-friendly interactive visualization workflows for easy data exploration and figure generation. The development of such platforms for this purpose is necessary to accelerate and streamline microbiome laboratory research.

resultsWe developed the Workflow Hub for Automated Metagenomic Exploration (WHAM!) as a web-based interactive tool capable of user-directed data visualization and statistical analysis of annotated shotgun metagenomic and metatranscriptomic data sets. WHAM! includes exploratory and hypothesis-based gene and taxa search modules for visualizing differences in microbial taxa and gene family expression across experimental groups, and for creating publication quality figures without the need for command line interface or in-house bioinformatics.

conclusionsWHAM! is an interactive and customizable tool for downstream metagenomic and metatranscriptomic analysis providing a user-friendly interface allowing for easy data exploration by microbiome and ecological experts to facilitate discovery in multi-dimensional and large-scale data sets.

Indexed as

Computational BiologyHigh-Throughput Nucleotide SequencingMetagenomicsMicrobiotaData explorationDNA analysisExpression analysisMetatranscriptomicMicrobiomeRShiny

Identifiers

PMID29940835
PMCPMC6019711

What OpenQuestion holds

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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.