Evidence map›Paper›PMID 29950165›Full record

ArticleGenome biology2018

HmmUFOtu: An HMM and phylogenetic placement based ultra-fast taxonomic assignment and OTU picking tool for microbiome amplicon sequencing studies.

Qi Zheng, Casey Bartow-McKenney, Jacquelyn S Meisel, Elizabeth A Grice

Abstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  8. Involucrin Modulates Vitamin D Receptor Activity in the Epidermis.The Journal of investigative dermatology · 2023
    Article
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  11. Review
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  15. Article
  16. Research Techniques Made Simple: Profiling the Skin Microbiota.The Journal of investigative dermatology · 2019
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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.

Qi ZhengDepartment of Dermatology and Microbiology, Perelman School of Medicine, University of Pennsylvania, 421 Curie Blvd, BRB 1046/7, Philadelphia, PA, 19104, USA. zhengqi@pennmedicine.upenn.edu.
Casey Bartow-McKenneyGenomics and Computational Biology Program, Department of Dermatology, University of Pennsylvania, Philadelphia, USA.
Jacquelyn S MeiselGenomics and Computational Biology Program, Department of Dermatology, University of Pennsylvania, Philadelphia, USA.
Elizabeth A GriceDepartment of Dermatology and Microbiology, Perelman School of Medicine, University of Pennsylvania, 421 Curie Blvd, BRB 1046/7, Philadelphia, PA, 19104, USA. egrice@pennmedicine.upenn.edu.ORCID 0000-0003-3939-2200

Funding

Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Penn Dermatology Research Training ProgramT32AR007465 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Elizabeth Anne Grice, David Joel Margolis · 1986 to 2026
$9.0M
Study Design and Data AnalysisP30AR069589 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Elizabeth Anne Grice · 2016 to 2026
$8.6M
Decoding the microbial burden in diabetic foot ulcersR01NR015639 · NINR · UNIVERSITY OF PENNSYLVANIA · PI GRICE, ELIZABETH ANNE · 2015 to 2023
$4.1M
Skin microbiome interactions with complementR01AR066663 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI GRICE, ELIZABETH ANNE · 2015 to 2019
$1.8M
The Microbiome of Impaired Wound HealingR00AR060873 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI GRICE, ELIZABETH ANNE · 2012 to 2014
$730k
NHGRI NIH HHS T32 HG000046NHGRI NIH HHS T32HG00046NIAMS NIH HHS P30 AR069589NIAMS NIH HHS P30AR069589NIAMS NIH HHS R00 AR060873NIAMS NIH HHS R00AR060873NIAMS NIH HHS R01 AR066663NIAMS NIH HHS R01AR066663NIAMS NIH HHS T32 AR007465NIAMS NIH HHS T32AR007465NINR NIH HHS R01 NR015639NINR NIH HHS R01NR015639
6 · The paper itself

Abstract

Culture-independent analysis of microbial communities frequently relies on amplification and sequencing of the prokaryotic 16S ribosomal RNA gene. Typical analysis pipelines group sequences into operational taxonomic units (OTUs) to infer taxonomic and phylogenetic relationships. Here, we present HmmUFOtu, a novel tool for processing microbiome amplicon sequencing data, which performs rapid per-read phylogenetic placement, followed by phylogenetically informed clustering into OTUs and taxonomy assignment. Compared to standard pipelines, HmmUFOtu more accurately and reliably recapitulates microbial community diversity and composition in simulated and real datasets without relying on heuristics or sacrificing speed or accuracy.

Indexed as

AlgorithmsCluster AnalysisComputational BiologyHigh-Throughput Nucleotide SequencingMicrobiotaPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S16S rRNA geneDirichlet modelsDNA substitution modelsFM-indexHMM profile alignmentMicrobiomeOperational taxonomic unitPhylogenetic placementTaxonomic assignment

Identifiers

PMID29950165
PMCPMC6020470

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.