Evidence map›Paper›PMID 19710709›Full record

ArticleThe ISME journal2010

Fast UniFrac: facilitating high-throughput phylogenetic analyses of microbial communities including analysis of pyrosequencing and PhyloChip data.

Micah Hamady, Catherine Lozupone, Rob Knight

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in The ISME journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 534 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
534citing papers in PubMed, 1 pooled it
28.2field-weighted citation impact, top 1% of its field
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

534 citing papers in PubMed, 1 synthesis or guideline pooled it, 1,118 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Diet-vaccine interactions: SQM Iron andApplied and environmental microbiology · 2026
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  14. Characterization of the gut microbiome of wildFrontiers in microbiomes · 2026
    Article
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  18. Article
  19. The Gut Microbiota of Peruvian Children Under the Age of Two During the Complementary Feeding Period.International journal of environmental research and public health · 2025
    Article
  20. Article

474 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

3 authors at 2 institutions in 1 country.

Micah HamadyDepartment of Computer Science, University of Colorado, Boulder, CO, USA.
Catherine Lozupone
Rob Knight
University of Colorado Boulder · USHoward Hughes Medical Institute · US

Funding

Trace the flow of genes in the gut microbiome of obese and lean twin pairsP01DK078669 · NIDDK · WASHINGTON UNIVERSITY · PI GORDON, JEFFREY I · 2007 to 2018
$16.0M
A Quality Assurance, Coordination and Analysis Center for HMPU01HG004866 · NHGRI · UNIVERSITY OF MARYLAND BALTIMORE · PI WHITE, OWEN R · 2008 to 2012
$12.5M
Predoctoral Training Molecular BiophysicsT32GM065103 · NIGMS · UNIVERSITY OF COLORADO AT BOULDER · PI FALKE, JOSEPH J · 2002 to 2021
$4.3M
New Tools for Understanding the Composition and Dynamics of Microbial CommunitiesR01HG004872 · NHGRI · UNIVERSITY OF COLORADO · PI KNIGHT, ROB · 2008 to 2012
$1.8M
NHGRI NIH HHS 1R01HG004872-01NHGRI NIH HHS 1U01HG004866-01NHGRI NIH HHS R01 HG004872NHGRI NIH HHS U01 HG004866NIDDK NIH HHS P01 DK078669NIDDK NIH HHS P01DK078669NIGMS NIH HHS T32 GM065103
6 · The paper itself

Abstract

Next-generation sequencing techniques, and PhyloChip, have made simultaneous phylogenetic analyses of hundreds of microbial communities possible. Insight into community structure has been limited by the inability to integrate and visualize such vast datasets. Fast UniFrac overcomes these issues, allowing integration of larger numbers of sequences and samples into a single analysis. Its new array-based implementation offers orders of magnitude improvements over the original version. New 3D visualization of principal coordinates analysis results, with the option to view multiple coordinate axes simultaneously, provides a powerful way to quickly identify patterns that relate vast numbers of microbial communities. We show the potential of Fast UniFrac using examples from three data types: Sanger-sequencing studies of diverse free-living and animal-associated bacterial assemblages and from the gut of obese humans as they diet, pyrosequencing data integrated from studies of the human hand and gut, and PhyloChip data from a study of citrus pathogens. We show that a Fast UniFrac analysis using a reference tree recaptures patterns that could not be detected without considering phylogenetic relationships and that Fast UniFrac, coupled with BLAST-based sequence assignment, can be used to quickly analyze pyrosequencing runs containing hundreds of thousands of sequences, showing patterns relating human and gut samples. Finally, we show that the application of Fast UniFrac to PhyloChip data could identify well-defined subcategories associated with infection. Together, these case studies point the way toward a broad range of applications and show some of the new features of Fast UniFrac.

Indexed as

Cluster AnalysisPhylogenyAnimalsBacteriaCitrusComputational BiologyGastrointestinal TractHandHumansSequence Analysis

Identifiers

PMID19710709
PMCPMC2797552
OpenAlexW2038838030

What OpenQuestion holds

Textmetadata
LicenceTDM
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.