Evidence map›Paper›PMID 40271661›Full record

ArticleNucleic acids research2025

Bakta Web - rapid and standardized genome annotation on scalable infrastructures.

Sebastian Beyvers, Lukas Jelonek, Alexander Goesmann, Oliver Schwengers

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. A functionally selectedApplied and environmental microbiology · 2026
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  2. International journal of systematic and evolutionary microbiology · 2026
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  4. Detection of an ExPEC-likeBiotech (Basel (Switzerland)) · 2026
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  8. Complete genome sequence ofMicrobiology resource announcements · 2026
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  9. Harnessing gut microbiome enzymes:Microbiology spectrum · 2026
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  13. Complete genome sequence ofMicrobiology resource announcements · 2026
    Article
  14. Article
  15. New hybrid sequencing data ofData in brief · 2026
    Article
  16. Complete genome sequence of aMicrobiology resource announcements · 2026
    Article
  17. Article
  18. 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

4 authors.

Sebastian BeyversBioinformatics and Systems Biology, Justus Liebig University Giessen, Ludwigsplatz 13-15, 35390 Giessen, Hesse, Germany.ORCID 0000-0002-9747-7096
Lukas JelonekBioinformatics and Systems Biology, Justus Liebig University Giessen, Ludwigsplatz 13-15, 35390 Giessen, Hesse, Germany.ORCID 0000-0002-9973-0374
Alexander GoesmannBioinformatics and Systems Biology, Justus Liebig University Giessen, Ludwigsplatz 13-15, 35390 Giessen, Hesse, Germany.ORCID 0000-0002-7086-2568
Oliver SchwengersBioinformatics and Systems Biology, Justus Liebig University Giessen, Ludwigsplatz 13-15, 35390 Giessen, Hesse, Germany.ORCID 0000-0003-4216-2721

Funding

BiGi Service Center 031A533Deep-Legion 031L0288BFederal Ministry of Education and Research FAIRDS08German Network for Bioinformatics Infrastructure W-de.NBI-010Justus Liebig University Giessen
6 · The paper itself

Abstract

The Bakta command line application is widely used and one of the most established tools for bacterial genome annotation. It balances comprehensive annotation with computational efficiency via alignment-free sequence identifications. However, the usage of command line software tools and the interpretation of result files in various formats might be challenging and pose technical barriers. Here, we present the recent updates on the Bakta web server, a user-friendly web interface for conducting and visualizing annotations using Bakta without requiring command line expertise or local computing resources. Key features include interactive visualizations through circular genome plots, linear genome browsers, and searchable data tables facilitating the interpretation of complex annotation results. The web server generates standard bioinformatics outputs (GFF3, GenBank, EMBL) and annotates diverse genomic features, including coding sequences, non-coding RNAs, small open reading frames (sORFs), and many more. The development of an auto-scaling cloud-native architecture and improved database integration led to substantially faster processing times and higher throughputs. The system supports FAIR principles via extensive cross-reference links to external databases, including RefSeq, UniRef, and Gene Ontology. Also, novel features have been implemented to foster sharing and collaborative interpretation of results. The web server is freely available at https://bakta.computational.bio.

Indexed as

Genome, BacterialGenomicsMolecular Sequence AnnotationSoftwareComputational BiologyDatabases, GeneticInternetUser-Computer Interface

Identifiers

PMID40271661
PMCPMC12230652

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.