Evidence map›Paper›PMID 28749930›Full record

ArticleNature protocols2017

Nontargeted virus sequence discovery pipeline and virus clustering for metagenomic data.

David Paez-Espino, Georgios A Pavlopoulos, Natalia N Ivanova, Nikos C Kyrpides

Abstract read
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In one paragraph

Article in Nature protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

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  15. Soil viral diversity, ecology and climate change.Nature reviews. Microbiology · 2023
    Review
  16. Genomic diversity and ecological distribution of marineMarine life science & technology · 2023
    Article
  17. Article
  18. Article
  19. Article
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16 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.

David Paez-EspinoJoint Genome Institute, Department of Energy, Walnut Creek, California, USA.ORCID http://orcid.org/0000-0002-2939-5398
Georgios A PavlopoulosJoint Genome Institute, Department of Energy, Walnut Creek, California, USA.
Natalia N IvanovaJoint Genome Institute, Department of Energy, Walnut Creek, California, USA.
Nikos C KyrpidesJoint Genome Institute, Department of Energy, Walnut Creek, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of large microbiome data sets holds great promise for the delineation of the biological and metabolic functioning of living organisms and their role in the environment. In the midst of this genomic puzzle, viruses, especially those that infect microbial communities, represent a major reservoir of genetic diversity with great impact on biogeochemical cycles and organismal health. Overcoming the limitations associated with virus detection directly from microbiomes can provide key insights into how ecosystem dynamics are modulated. Here, we present a computational protocol for accurate detection and grouping of viral sequences from microbiome samples. Our approach relies on an expanded and curated set of viral protein families used as bait to identify viral sequences directly from metagenomic assemblies. This protocol describes how to use the viral protein families catalog (∼7 h) and recommended filters for the detection of viral contigs in metagenomic samples (∼6 h), and it describes the specific parameters for a nucleotide-sequence-identity-based method of organizing the viral sequences into quasi-species taxonomic-level groups (∼10 min).

Indexed as

Cluster AnalysisComputational BiologyMetagenomicsViruses

Identifiers

PMID28749930

What OpenQuestion holds

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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.