Evidence map›Paper›PMID 31295925›Full record

ArticleInternational journal of molecular sciences2019

A Method for Improving the Accuracy and Efficiency of Bacteriophage Genome Annotation.

Alicia Salisbury, Philippos K Tsourkas

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
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

34 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Isolation of aMicrobiology resource announcements · 2026
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  4. Identification of EvenBluerMoon: a bacteriophage ofMicrobiology resource announcements · 2025
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  8. Genomic Analysis of 96Viruses · 2025
    Article
  9. Article
  10. Complete genome sequences of cluster F1 and cluster B1Microbiology resource announcements · 2024
    Article
  11. Complete genome sequences of cluster G1 and cluster K4Microbiology resource announcements · 2023
    Article
  12. Article
  13. PHAGE (New Rochelle, N.Y.) · 2023
    Article
  14. Article
  15. Microbiome research reports · 2023
    Article
  16. Computational Tools for the Analysis of Uncultivated Phage Genomes.Microbiology and molecular biology reviews : MMBR · 2022
    Review
  17. Article
  18. Evaluating the predictive accuracy of curated biological pathways in a public knowledgebase.Database : the journal of biological databases and curation · 2022
    Article
  19. Article
  20. Article
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 at 1 institution in 1 country.

Alicia SalisburySchool of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA.
Philippos K TsourkasSchool of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA. philippos.tsourkas@unlv.edu.ORCID 0000-0002-0364-7040
University of Nevada, Las Vegas · US

Funding

National Science Foundation REU DBI 175316
6 · The paper itself

Abstract

Bacteriophages are the most numerous entities on Earth. The number of sequenced phage genomes is approximately 8000 and increasing rapidly. Sequencing of a genome is followed by annotation, where genes, start codons, and functions are putatively identified. The mainstays of phage genome annotation are auto-annotation programs such as Glimmer and GeneMark. Due to the relatively small size of phage genomes, many groups choose to manually curate auto-annotation results to increase accuracy. An additional benefit of manual curation of auto-annotated phage genomes is that the process is amenable to be performed by students, and has been shown to improve student recruitment to the sciences. However, despite its greater accuracy and pedagogical value, manual curation suffers from high labor cost, lack of standardization and a degree of subjectivity in decision making, and susceptibility to mistakes. Here, we present a method developed in our lab that is designed to produce accurate annotations while reducing subjectivity and providing a degree of standardization in decision-making. We show that our method produces genome annotations more accurate than auto-annotation programs while retaining the pedagogical benefits of manual genome curation.

Indexed as

Computational BiologyGenome, ViralGenomicsBacteriophagesGenes, ViralHumansMolecular Sequence Annotationbacteriophagesgenome annotationgenomicsLambdaSEA-PHAGES

Identifiers

PMID31295925
PMCPMC6678273
OpenAlexW2960508233

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.