Evidence map›Paper›PMID 33575650›Full record

ArticleNAR genomics and bioinformatics2021

BRAKER2: automatic eukaryotic genome annotation with GeneMark-EP+ and AUGUSTUS supported by a protein database.

Tomáš Brůna, Katharina J Hoff, Alexandre Lomsadze, Mario Stanke, Mark Borodovsky

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,101 papers.

0numbers the graph read from it
0cells of the map it votes in
1,101citing papers in PubMed
112.5field-weighted citation impact, top 1% 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

1,101 citing papers in PubMed, 1,759 citations in OpenAlex.

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1,041 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

5 authors at 2 institutions in 2 countries.

Tomáš BrůnaSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Katharina J HoffInstitute of Mathematics and Computer Science, University of Greifswald, 17489 Greifswald, Germany.
Alexandre LomsadzeWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Mario StankeInstitute of Mathematics and Computer Science, University of Greifswald, 17489 Greifswald, Germany.
Mark BorodovskyWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-1401-4046
Georgia Institute of Technology · USUniversität Greifswald · DE

Funding

NIGMS Administrative Supplements to Support Undergraduate Summer ResearchR01GM128145 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI BORODOVSKY, MARK · 2018 to 2021
$1.1M
NIGMS NIH HHS R01 GM128145
6 · The paper itself

Abstract

The task of eukaryotic genome annotation remains challenging. Only a few genomes could serve as standards of annotation achieved through a tremendous investment of human curation efforts. Still, the correctness of all alternative isoforms, even in the best-annotated genomes, could be a good subject for further investigation. The new BRAKER2 pipeline generates and integrates external protein support into the iterative process of training and gene prediction by GeneMark-EP+ and AUGUSTUS. BRAKER2 continues the line started by BRAKER1 where self-training GeneMark-ET and AUGUSTUS made gene predictions supported by transcriptomic data. Among the challenges addressed by the new pipeline was a generation of reliable hints to protein-coding exon boundaries from likely homologous but evolutionarily distant proteins. In comparison with other pipelines for eukaryotic genome annotation, BRAKER2 is fully automatic. It is favorably compared under equal conditions with other pipelines, e.g. MAKER2, in terms of accuracy and performance. Development of BRAKER2 should facilitate solving the task of harmonization of annotation of protein-coding genes in genomes of different eukaryotic species. However, we fully understand that several more innovations are needed in transcriptomic and proteomic technologies as well as in algorithmic development to reach the goal of highly accurate annotation of eukaryotic genomes.

Identifiers

PMID33575650
PMCPMC7787252
OpenAlexW3119984181

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.