Evidence map›Paper›PMID 38898442›Full record

ArticleBMC genomics2024

Exploring crop genomes: assembly features, gene prediction accuracy, and implications for proteomics studies.

Qussai Abbas, Mathias Wilhelm, Bernhard Kuster, Brigitte Poppenberger, Dmitrij Frishman

Erratum issuedAbstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. First draft genome of the decaploid species,GigaByte (Hong Kong, China) · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Functional Genomics and Comparative Genomics Analysis in Plants.Current issues in molecular biology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Qussai AbbasChair of Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Mathias WilhelmComputational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Bernhard KusterMunich Data Science Institute, Technical University of Munich, Garching, Germany.
Brigitte PoppenbergerBiotechnology of Horticultural Crops, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Dmitrij FrishmanChair of Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany. dimitri.frischmann@tum.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant genomics plays a pivotal role in enhancing global food security and sustainability by offering innovative solutions for improving crop yield, disease resistance, and stress tolerance. As the number of sequenced genomes grows and the accuracy and contiguity of genome assemblies improve, structural annotation of plant genomes continues to be a significant challenge due to their large size, polyploidy, and rich repeat content. In this paper, we present an overview of the current landscape in crop genomics research, highlighting the diversity of genomic characteristics across various crop species. We also assessed the accuracy of popular gene prediction tools in identifying genes within crop genomes and examined the factors that impact their performance. Our findings highlight the strengths and limitations of BRAKER2 and Helixer as leading structural genome annotation tools and underscore the impact of genome complexity, fragmentation, and repeat content on their performance. Furthermore, we evaluated the suitability of the predicted proteins as a reliable search space in proteomics studies using mass spectrometry data. Our results provide valuable insights for future efforts to refine and advance the field of structural genome annotation.

Indexed as

Crops, AgriculturalGenome, PlantMolecular Sequence AnnotationProteomicsGenomicsPlant ProteinsPlant ProteinsBioinformatics algorithmsCrop genomicsGene predictionGenome annotationPeptide identificationPlant evolution

Identifiers

PMID38898442
PMCPMC11186247

What Socratic 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 Socratic graph.