Evidence map›Paper›PMID 26157614›Full record

ArticlePeerJ2015

Compact graphical representation of phylogenetic data and metadata with GraPhlAn.

Francesco Asnicar, George Weingart, Timothy L Tickle, Curtis Huttenhower, Nicola Segata

Abstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 430 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
430citing papers in PubMed, 2 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

430 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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370 more citing papers are in PubMed but not listed here.

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.

Francesco AsnicarCentre for Integrative Biology (CIBIO), University of Trento , Italy.
George WeingartBiostatistics Department, Harvard School of Public Health , USA.
Timothy L TickleBroad Institute of MIT and Harvard , USA.
Curtis HuttenhowerBiostatistics Department, Harvard School of Public Health , USA ; Broad Institute of MIT and Harvard , USA.
Nicola SegataCentre for Integrative Biology (CIBIO), University of Trento , Italy.

Funding

Functional activity and inter-organismal interactions in the human microbiomeR01HG005969 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HUTTENHOWER, CURTIS · 2010 to 2012
$1.3M
NHGRI NIH HHS R01 HG005969
6 · The paper itself

Abstract

The increased availability of genomic and metagenomic data poses challenges at multiple analysis levels, including visualization of very large-scale microbial and microbial community data paired with rich metadata. We developed GraPhlAn (Graphical Phylogenetic Analysis), a computational tool that produces high-quality, compact visualizations of microbial genomes and metagenomes. This includes phylogenies spanning up to thousands of taxa, annotated with metadata ranging from microbial community abundances to microbial physiology or host and environmental phenotypes. GraPhlAn has been developed as an open-source command-driven tool in order to be easily integrated into complex, publication-quality bioinformatics pipelines. It can be executed either locally or through an online Galaxy web application. We present several examples including taxonomic and phylogenetic visualization of microbial communities, metabolic functions, and biomarker discovery that illustrate GraPhlAn's potential for modern microbial and community genomics.

Indexed as

Graphical representationMetagenomicsPhylogenetic visualizationPhylogenomics

Identifiers

PMID26157614
PMCPMC4476132

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.