Evidence map›Paper›PMID 37653395›Full record

ArticleBMC bioinformatics2023

Galba: genome annotation with miniprot and AUGUSTUS.

Tomáš Brůna, Heng Li, Joseph Guhlin, Daniel Honsel, Steffen Herbold, Mario Stanke, Natalia Nenasheva, Matthis Ebel, Lars Gabriel, Katharina J Hoff

Abstract read
In one paragraph

Article in BMC bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

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  15. Genomic Divergence BetweenEcology and evolution · 2026
    Article
  16. Review
  17. Article
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4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Tomáš BrůnaU.S. Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Heng LiDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, 02215, MA, USA.
Joseph GuhlinGenomics Aotearoa and Laboratory for Evolution and Development, Department of Biochemistry, University of Otago, Dunedin, 9016, New Zealand.
Daniel HonselInstitute of Computer Science, University of Göttingen, 37077, Göttingen, Germany.
Steffen HerboldFaculty for Computer Science and Mathematics, University of Passau, 94032, Passau, Germany.
Mario StankeInstitute of Mathematics and Computer Science, and Center for Functional Genomics of Microbes, University of Greifswald, 17489, Greifswald, Germany.
Natalia NenashevaInstitute of Mathematics and Computer Science, and Center for Functional Genomics of Microbes, University of Greifswald, 17489, Greifswald, Germany.
Matthis EbelInstitute of Mathematics and Computer Science, and Center for Functional Genomics of Microbes, University of Greifswald, 17489, Greifswald, Germany.
Lars GabrielInstitute of Mathematics and Computer Science, and Center for Functional Genomics of Microbes, University of Greifswald, 17489, Greifswald, Germany.
Katharina J HoffInstitute of Mathematics and Computer Science, and Center for Functional Genomics of Microbes, University of Greifswald, 17489, Greifswald, Germany. katharina.hoff@uni-greifswald.de.

Funding

Advanced computational methods in analyzing high-throughput sequencing dataR01HG010040 · NHGRI · DANA-FARBER CANCER INST · PI Heng Li · 2018 to 2026
$3.7M
NHGRI NIH HHS R01 HG010040NIH HHS R01HG010040
6 · The paper itself

Abstract

backgroundThe Earth Biogenome Project has rapidly increased the number of available eukaryotic genomes, but most released genomes continue to lack annotation of protein-coding genes. In addition, no transcriptome data is available for some genomes.

resultsVarious gene annotation tools have been developed but each has its limitations. Here, we introduce GALBA, a fully automated pipeline that utilizes miniprot, a rapid protein-to-genome aligner, in combination with AUGUSTUS to predict genes with high accuracy. Accuracy results indicate that GALBA is particularly strong in the annotation of large vertebrate genomes. We also present use cases in insects, vertebrates, and a land plant. GALBA is fully open source and available as a docker image for easy execution with Singularity in high-performance computing environments.

conclusionsOur pipeline addresses the critical need for accurate gene annotation in newly sequenced genomes, and we believe that GALBA will greatly facilitate genome annotation for diverse organisms.

Indexed as

EukaryotaEukaryotic CellsAnimalsMolecular Sequence AnnotationSnailsTranscriptomeAUGUSTUSGene predictionMiniprotProtein coding gene

Identifiers

PMID37653395
PMCPMC10472564

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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.