Evidence map›Paper›PMID 36453861›Full record

ArticleBioinformatics (Oxford, England)2023

Pharokka: a fast scalable bacteriophage annotation tool.

George Bouras, Roshan Nepal, Ghais Houtak, Alkis James Psaltis, Peter-John Wormald, Sarah Vreugde

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 428 papers.

0numbers the graph read from it
0cells of the map it votes in
428citing 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

428 citing papers in PubMed.

  1. Article
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  3. Complete genome sequence ofMicrobiology resource announcements · 2026
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  6. Members of theMicrobial genomics · 2026
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  14. Review
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  16. Genome sequences of sixMicrobiology resource announcements · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

368 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

6 authors.

George BourasAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA 5070, Australia.ORCID 0000-0002-5885-4186
Roshan NepalAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA 5070, Australia.ORCID 0000-0002-5469-3397
Ghais HoutakAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA 5070, Australia.ORCID 0000-0001-6692-9478
Alkis James PsaltisAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA 5070, Australia.
Peter-John WormaldAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA 5070, Australia.
Sarah VreugdeAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA 5070, Australia.

Funding

National Health and Medical Research Council Investigator Grant 1196832
6 · The paper itself

Abstract

summaryIn recent years, there has been an increasing interest in bacteriophages, which has led to growing numbers of bacteriophage genomic sequences becoming available. Consequently, there is a need for a rapid and consistent genomic annotation tool dedicated for bacteriophages. Existing tools either are not designed specifically for bacteriophages or are web- and email-based and require significant manual curation, which makes their integration into bioinformatic pipelines challenging. Pharokka was created to provide a tool that annotates bacteriophage genomes easily, rapidly and consistently with standards compliant outputs. Moreover, Pharokka requires only two lines of code to install and use and takes under 5 min to run for an average 50-kb bacteriophage genome. AVAILABILITY AND IMPLEMENTATION: Pharokka is implemented in Python and is available as a bioconda package using 'conda install -c bioconda pharokka'. The source code is available on GitHub (https://github.com/gbouras13/pharokka). Pharokka has been tested on Linux-64 and MacOSX machines and on Windows using a Linux Virtual Machine.

Indexed as

BacteriophagesComputational BiologyGenomeGenomicsSoftware

Identifiers

PMID36453861
PMCPMC9805569

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.