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BMC Genomics
BMC Genomics
BMC Genomics
1471-2164
BioMed Central London

10796
10.1186/s12864-024-10796-z
Correction
Correction: Exploring crop genomes: assembly features, gene prediction accuracy, and implications for proteomics studies
Abbas Qussai 1
Wilhelm Mathias 23
Kuster Bernhard 34
Poppenberger Brigitte 5
Frishman Dmitrij dimitri.frischmann@tum.de

1
1 https://ror.org/02kkvpp62 grid.6936.a 0000 0001 2322 2966 Chair of Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
2 https://ror.org/02kkvpp62 grid.6936.a 0000 0001 2322 2966 Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
3 https://ror.org/02kkvpp62 grid.6936.a 0000 0001 2322 2966 Munich Data Science Institute, Technical University of Munich, Garching, Germany
4 https://ror.org/02kkvpp62 grid.6936.a 0000 0001 2322 2966 Chair of Proteomics and Bioanalytics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
5 https://ror.org/02kkvpp62 grid.6936.a 0000 0001 2322 2966 Biotechnology of Horticultural Crops, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
19 9 2024
19 9 2024
2024
25 881© The Author(s) 2024
2024
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pmc Correction: BMC Genomics 25, 619 (2024)

10.1186/s12864-024-10521-w

Following publication of the original article, it was noticed that the sensitivity and specificity values of GALBA were reported incorrectly, leading to an error in Fig. 4, and 4b. The incorrect and correct versions of Fig. 4a and b. are given in this correction article.

Incorrect figure panels:

Correct Fig. 4a and b:

The following text in the ‘Benchmarking gene prediction tools’ relating to Fig. 4 has been corrected as a result of this correction.

Original text:

The benchmarking of the selected gene prediction tools was conducted against the well-curated reference annotations of the Arabidopsis thaliana and Medicago truncatula model plant genomes. These tools do not rely on species-specific transcriptomics or proteomics data. Comparative analysis revealed that BRAKER2, GALBA and Helixer exhibited superior performance in terms of sensitivity and specificity compared to the other tools assessed (Fig. 4a and b).

Corrected text:

The benchmarking of the selected gene prediction tools was conducted against the well-curated reference annotations of the Arabidopsis thaliana and Medicago truncatula model plant genomes. These tools do not rely on species-specific transcriptomics or proteomics data. Comparative analysis revealed that BRAKER2, GALBA and Helixer exhibited superior performance in terms of sensitivity and specificity compared to the other tools assessed (Fig. 4a and b). While GALBA was specifically designed to work well with genomes that present challenges for BRAKER2—such as large genomes with abundant repeats and high GC content—it will not be included in this study and will be evaluated in future research.

The original article has been updated.

The online version of the original article can be found at 10.1186/s12864-024-10521-w.

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