Evidence map›Paper›PMID 25765641›Full record

ArticleNucleic acids research2015

Accurate read-based metagenome characterization using a hierarchical suite of unique signatures.

Tracey Allen K Freitas, Po-E Li, Matthew B Scholz, Patrick S G Chain

Abstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing 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

91 citing papers in PubMed.

  1. Trial
  2. Article
  3. 16S rRNA sequence captures microbial functional potential.bioRxiv : the preprint server for biology · 2026
    Article
  4. Advances in pathogen detection ofInfectious medicine · 2025
    Review
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  11. Article
  12. Article
  13. Sea cucumber (Data in brief · 2024
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

31 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

4 authors.

Tracey Allen K FreitasBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Po-E LiBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Matthew B ScholzBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Patrick S G ChainBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA pchain@lanl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge in the field of shotgun metagenomics is the accurate identification of organisms present within a microbial community, based on classification of short sequence reads. Though existing microbial community profiling methods have attempted to rapidly classify the millions of reads output from modern sequencers, the combination of incomplete databases, similarity among otherwise divergent genomes, errors and biases in sequencing technologies, and the large volumes of sequencing data required for metagenome sequencing has led to unacceptably high false discovery rates (FDR). Here, we present the application of a novel, gene-independent and signature-based metagenomic taxonomic profiling method with significantly and consistently smaller FDR than any other available method. Our algorithm circumvents false positives using a series of non-redundant signature databases and examines Genomic Origins Through Taxonomic CHAllenge (GOTTCHA). GOTTCHA was tested and validated on 20 synthetic and mock datasets ranging in community composition and complexity, was applied successfully to data generated from spiked environmental and clinical samples, and robustly demonstrates superior performance compared with other available tools.

Indexed as

Air MicrobiologyAlgorithmsFecesFrancisella tularensisHumansMetagenomeMetagenomicsSoftware

Identifiers

PMID25765641
PMCPMC4446416

What OpenQuestion holds

Textmetadata
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.