Evidence map›Paper›PMID 26541816›Full record

ArticleBMC biology2015

MetAnnotate: function-specific taxonomic profiling and comparison of metagenomes.

Pavel Petrenko, Briallen Lobb, Daniel A Kurtz, Josh D Neufeld, Andrew C Doxey

Abstract read
In one paragraph

Article in BMC biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. ComammoxApplied and environmental microbiology · 2023
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Article
  13. Characterisation of theFrontiers in microbiology · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. A clinician's guide to microbiome analysis.Nature reviews. Gastroenterology & hepatology · 2017
    Review
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.

Pavel PetrenkoDepartment of Biology, University of Waterloo, 200 University Ave. West, Waterloo, ON, N2L 3G1, Canada.
Briallen LobbDepartment of Biology, University of Waterloo, 200 University Ave. West, Waterloo, ON, N2L 3G1, Canada.
Daniel A KurtzDepartment of Biology, University of Waterloo, 200 University Ave. West, Waterloo, ON, N2L 3G1, Canada.
Josh D NeufeldDepartment of Biology, University of Waterloo, 200 University Ave. West, Waterloo, ON, N2L 3G1, Canada.
Andrew C DoxeyDepartment of Biology, University of Waterloo, 200 University Ave. West, Waterloo, ON, N2L 3G1, Canada. acdoxey@uwaterloo.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetagenomes provide access to the taxonomic composition and functional capabilities of microbial communities. Although metagenomic analysis methods exist for estimating overall community composition or metabolic potential, identifying specific taxa that encode specific functions or pathways of interest can be more challenging. Here we present MetAnnotate, which addresses the common question: "which organisms perform my function of interest within my metagenome(s) of interest?" MetAnnotate uses profile hidden Markov models to analyze shotgun metagenomes for genes and pathways of interest, classifies retrieved sequences either through a phylogenetic placement or best hit approach, and enables comparison of these profiles between metagenomes.

resultsBased on a simulated metagenome dataset, the tool achieves high taxonomic classification accuracy for a broad range of genes, including both markers of community abundance and specific biological pathways. Lastly, we demonstrate MetAnnotate by analyzing for cobalamin (vitamin B12) synthesis genes across hundreds of aquatic metagenomes in a fraction of the time required by the commonly used Basic Local Alignment Search Tool top hit approach.

conclusionsMetAnnotate is multi-threaded and installable as a local web application or command-line tool on Linux systems. Metannotate is a useful framework for general and/or function-specific taxonomic profiling and comparison of metagenomes.

Indexed as

MetagenomeArchaeaBacteriaClassificationMolecular Sequence AnnotationSoftwareVitamin B 12Vitamin B 12

Identifiers

PMID26541816
PMCPMC4636000

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.