Evidence map›Paper›PMID 26002885›Full record

ArticleBioinformatics (Oxford, England)2015

Bayesian mixture analysis for metagenomic community profiling.

Sofia Morfopoulou, Vincent Plagnol

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  11. Report of the third conference on next-generation sequencing for adventitious virus detection in biologics for humans and animals.Biologicals : journal of the International Association of Biological Standardization · 2023
    Article
  12. Article
  13. An Adagio for Viruses, Played Out on Ancient DNA.Genome biology and evolution · 2023
    Review
  14. Article
  15. Benchmark of thirteen bioinformatic pipelines for metagenomic virus diagnostics using datasets from clinical samples.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2021
    Article
  16. Metagenomic analysis of a blood stain from the French revolutionary Jean-Paul Marat (1743-1793).Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    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

2 authors.

Sofia MorfopoulouUCL Genetics Institute, University College London, London WC1E 6BT, UK.
Vincent PlagnolUCL Genetics Institute, University College London, London WC1E 6BT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationDeep sequencing of clinical samples is now an established tool for the detection of infectious pathogens, with direct medical applications. The large amount of data generated produces an opportunity to detect species even at very low levels, provided that computational tools can effectively profile the relevant metagenomic communities. Data interpretation is complicated by the fact that short sequencing reads can match multiple organisms and by the lack of completeness of existing databases, in particular for viral pathogens. Here we present metaMix, a Bayesian mixture model framework for resolving complex metagenomic mixtures. We show that the use of parallel Monte Carlo Markov chains for the exploration of the species space enables the identification of the set of species most likely to contribute to the mixture.

resultsWe demonstrate the greater accuracy of metaMix compared with relevant methods, particularly for profiling complex communities consisting of several related species. We designed metaMix specifically for the analysis of deep transcriptome sequencing datasets, with a focus on viral pathogen detection; however, the principles are generally applicable to all types of metagenomic mixtures. AVAILABILITY AND IMPLEMENTATION: metaMix is implemented as a user friendly R package, freely available on CRAN: http://cran.r-project.org/web/packages/metaMix CONTACT: sofia.morfopoulou.10@ucl.ac.uk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bionformatics online.

Indexed as

Bayes TheoremBiosurveillanceSoftwareAlgorithmsAnimalsComputational BiologyDNA, BacterialDNA, ViralHigh-Throughput Nucleotide SequencingHumansMarkov ChainsMetagenomicsMiceMonte Carlo MethodSequence Analysis, DNADNA, BacterialDNA, Viral

Identifiers

PMID26002885
PMCPMC4565032

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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.