Evidence map›Paper›PMID 36399058›Full record

ArticleGigaScience2022

What the Phage: a scalable workflow for the identification and analysis of phage sequences.

Mike Marquet, Martin Hölzer, Mathias W Pletz, Adrian Viehweger, Oliwia Makarewicz, Ralf Ehricht, Christian Brandt

Abstract read
In one paragraph

Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  11. Diversification ofMicroorganisms · 2024
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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

7 authors.

Mike MarquetInstitute of Infectious Diseases and Infection Control, Jena-University Hospital/Friedrich Schiller University, Jena 07747, Germany.ORCID 0000-0003-4344-8289
Martin HölzerBioinformatics and Systems Biology, Robert Koch Institute, Berlin 13353, Germany.ORCID 0000-0001-7090-8717
Mathias W PletzInstitute of Infectious Diseases and Infection Control, Jena-University Hospital/Friedrich Schiller University, Jena 07747, Germany.ORCID 0000-0001-8157-2753
Adrian ViehwegerMedical Microbiology and Virology, University Hospital Leipzig, Leipzig 04103, Germany.
Oliwia MakarewiczInstitute of Infectious Diseases and Infection Control, Jena-University Hospital/Friedrich Schiller University, Jena 07747, Germany.ORCID 0000-0002-4404-1862
Ralf EhrichtInfectoGnostics Research Campus, Jena 07747, Germany.ORCID 0000-0002-6612-0043
Christian BrandtInstitute of Infectious Diseases and Infection Control, Jena-University Hospital/Friedrich Schiller University, Jena 07747, Germany.ORCID 0000-0002-7199-3957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phages are among the most abundant and diverse biological entities on earth. Phage prediction from sequence data is a crucial first step to understanding their impact on the environment. A variety of bacteriophage prediction tools have been developed over the years. They differ in algorithmic approach, results, and ease of use. We, therefore, developed "What the Phage" (WtP), an easy-to-use and parallel multitool approach for phage prediction combined with an annotation and classification downstream strategy, thus supporting the user's decision-making process by summarizing the results of the different prediction tools in charts and tables. WtP is reproducible and scales to thousands of datasets through a workflow manager (Nextflow). WtP is freely available under a GPL-3.0 license (https://github.com/replikation/What_the_Phage).

Indexed as

BacteriophagesWorkflowDockereasy to usemultitool approachNextflowphage predictionscalable

Identifiers

PMID36399058
PMCPMC9673492

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.