Evidence map›Paper›PMID 22408191›Full record

ArticleBriefings in bioinformatics2013

The automatic annotation of bacterial genomes.

Emily J Richardson, Mick Watson

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Comparative Analyses of Bacteriophage Genomes.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Small Proteins; Big Questions.Journal of bacteriology · 2022
    Article
  14. Article
  15. Prokaryotic Genome Annotation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article

9 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

2 authors.

Emily J RichardsonThe Roslin Institute, University of Edinburgh, Easter Bush, EH25 9RG, UK.
Mick Watson

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/05191130Biotechnology and Biological Sciences Research Council BBS/E/D/20211551Medical Research Council MR/K001744/1
6 · The paper itself

Abstract

With the development of ultra-high-throughput technologies, the cost of sequencing bacterial genomes has been vastly reduced. As more genomes are sequenced, less time can be spent manually annotating those genomes, resulting in an increased reliance on automatic annotation pipelines. However, automatic pipelines can produce inaccurate genome annotation and their results often require manual curation. Here, we discuss the automatic and manual annotation of bacterial genomes, identify common problems introduced by the current genome annotation process and suggests potential solutions.

Indexed as

Genome, BacterialComputational BiologyDatabases, GeneticEscherichia coliMolecular Sequence AnnotationSalmonellaSoftware

Identifiers

PMID22408191
PMCPMC3548604

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.