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

IF 3.5 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY BMC Genomics Pub Date : 2024-09-19 DOI:10.1186/s12864-024-10796-z
Qussai Abbas, Mathias Wilhelm, Bernhard Kuster, Brigitte Poppenberger, Dmitrij Frishman
{"title":"Correction: Exploring crop genomes: assembly features, gene prediction accuracy, and implications for proteomics studies","authors":"Qussai Abbas, Mathias Wilhelm, Bernhard Kuster, Brigitte Poppenberger, Dmitrij Frishman","doi":"10.1186/s12864-024-10796-z","DOIUrl":null,"url":null,"abstract":"<p><b>Correction: BMC Genomics 25, 619 (2024)</b></p><p>https://doi.org/10.1186/s12864-024-10521-w</p><p>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.</p><p><b>Incorrect figure panels</b>:</p><figure><picture><source srcset=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12864-024-10796-z/MediaObjects/12864_2024_10796_Fig1_HTML.png?as=webp\" type=\"image/webp\"/><img alt=\"figure 1\" aria-describedby=\"Fig1\" height=\"801\" loading=\"lazy\" src=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12864-024-10796-z/MediaObjects/12864_2024_10796_Fig1_HTML.png\" width=\"685\"/></picture></figure><p><b>Correct Fig. 4a and b</b>:</p><figure><picture><source srcset=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12864-024-10796-z/MediaObjects/12864_2024_10796_Fig2_HTML.png?as=webp\" type=\"image/webp\"/><img alt=\"figure 2\" aria-describedby=\"Fig2\" height=\"282\" loading=\"lazy\" src=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12864-024-10796-z/MediaObjects/12864_2024_10796_Fig2_HTML.png\" width=\"685\"/></picture></figure><p>The following text in the ‘Benchmarking gene prediction tools’ relating to Fig. 4 has been corrected as a result of this correction.</p><p><b>Original text</b>:</p><p>The benchmarking of the selected gene prediction tools was conducted against the well-curated reference annotations of the <i>Arabidopsis thaliana</i> and <i>Medicago truncatula</i> 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).</p><p><b>Corrected text</b>:</p><p>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.</p><p>The original article has been updated.</p><h3>Authors and Affiliations</h3><ol><li><p>Chair of Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany</p><p>Qussai Abbas &amp; Dmitrij Frishman</p></li><li><p>Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany</p><p>Mathias Wilhelm</p></li><li><p>Munich Data Science Institute, Technical University of Munich, Garching, Germany</p><p>Mathias Wilhelm &amp; Bernhard Kuster</p></li><li><p>Chair of Proteomics and Bioanalytics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany</p><p>Bernhard Kuster</p></li><li><p>Biotechnology of Horticultural Crops, TUM School of Life Sciences, Technical University of Munich, Freising, Germany</p><p>Brigitte Poppenberger</p></li></ol><span>Authors</span><ol><li><span>Qussai Abbas</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Mathias Wilhelm</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Bernhard Kuster</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Brigitte Poppenberger</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Dmitrij Frishman</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Corresponding author</h3><p>Correspondence to Dmitrij Frishman.</p><h3>Publisher’s note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><p>The online version of the original article can be found at https://doi.org/10.1186/s12864-024-10521-w.</p><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.</p>\n<p>Reprints and permissions</p><img alt=\"Check for updates. 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Exploring crop genomes: assembly features, gene prediction accuracy, and implications for proteomics studies. <i>BMC Genomics</i> <b>25</b>, 881 (2024). https://doi.org/10.1186/s12864-024-10796-z</p><p>Download citation<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><ul data-test=\"publication-history\"><li><p>Published<span>: </span><span><time datetime=\"2024-09-19\">19 September 2024</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s12864-024-10796-z</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\"click\" data-track-action=\"get shareable link\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this 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Abstract

Correction: BMC Genomics 25, 619 (2024)

https://doi.org/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:

Abstract Image

Correct Fig. 4a and b:

Abstract Image

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.

Authors and Affiliations

  1. Chair of Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany

    Qussai Abbas & Dmitrij Frishman

  2. Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany

    Mathias Wilhelm

  3. Munich Data Science Institute, Technical University of Munich, Garching, Germany

    Mathias Wilhelm & Bernhard Kuster

  4. Chair of Proteomics and Bioanalytics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany

    Bernhard Kuster

  5. Biotechnology of Horticultural Crops, TUM School of Life Sciences, Technical University of Munich, Freising, Germany

    Brigitte Poppenberger

Authors
  1. Qussai AbbasView author publications

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  2. Mathias WilhelmView author publications

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  3. Bernhard KusterView author publications

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  4. Brigitte PoppenbergerView author publications

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  5. Dmitrij FrishmanView author publications

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Corresponding author

Correspondence to Dmitrij Frishman.

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Abbas, Q., Wilhelm, M., Kuster, B. et al. Correction: Exploring crop genomes: assembly features, gene prediction accuracy, and implications for proteomics studies. BMC Genomics 25, 881 (2024). https://doi.org/10.1186/s12864-024-10796-z

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更正:探索作物基因组:组装特征、基因预测准确性及对蛋白质组学研究的影响
更正:BMC Genomics 25, 619 (2024)https://doi.org/10.1186/s12864-024-10521-wFollowing 原文发表后,发现 GALBA 的灵敏度和特异性值报告有误,导致图 4 和 4b 中出现错误。本更正文章给出了图 4a 和图 4b 的错误和正确版本。错误的图面板:正确的图 4a 和图 4b:"基因预测工具基准 "中与图 4 相关的以下文字已在本更正文章中更正。原文:对所选基因预测工具的基准测试是根据拟南芥和蔓生麦迪奇模式植物基因组中经过精心整理的参考注释进行的。这些工具并不依赖于特定物种的转录组学或蛋白质组学数据。比较分析表明,与其他评估工具相比,BRAKER2、GALBA 和 Helixer 在灵敏度和特异性方面表现出更优越的性能(图 4a 和 b)。这些工具并不依赖于特定物种的转录组学或蛋白质组学数据。比较分析表明,与其他评估工具相比,BRAKER2、GALBA 和 Helixer 在灵敏度和特异性方面表现出更优越的性能(图 4a 和 b)。虽然 GALBA 专门设计用于处理对 BRAKER2 有挑战的基因组,如具有大量重复和高 GC 含量的大型基因组,但它不包括在本研究中,将在未来的研究中进行评估。作者和单位德国弗赖辛慕尼黑工业大学生命科学学院生物信息学系主任Qussai Abbas & Dmitrij Frishman德国弗赖辛慕尼黑工业大学生命科学学院计算质谱系主任Mathias Wilhelm德国加兴慕尼黑工业大学慕尼黑数据科学研究所Mathias Wilhelm &;Bernhard Kuster德国弗赖辛慕尼黑工业大学生命科学学院蛋白质组学与生物分析主席Bernhard Kuster德国弗赖辛慕尼黑工业大学生命科学学院园艺作物生物技术主席、德国Brigitte Poppenberger作者Qussai Abbas查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者Mathias Wilhelm查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者Bernhard Kuster查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者该作者在 PubMed Google ScholarBrigitte PoppenbergerView 作者发表作品您也可以在 PubMed Google ScholarDmitrij FrishmanView 作者发表作品您也可以在 PubMed Google ScholarCorresponding authorCorrespondence to Dmitrij Frishman.出版者注释施普林格-自然(Springer Nature)对出版地图中的管辖权主张和机构隶属关系保持中立。原始文章的在线版本可在以下网址找到:https://doi.org/10.1186/s12864-024-10521-w.Open Access 本文采用知识共享署名 4.0 国际许可协议进行许可,该协议允许以任何媒介或格式使用、共享、改编、分发和复制,只要您适当注明原作者和来源,提供知识共享许可协议的链接,并说明是否进行了修改。本文中的图片或其他第三方材料均包含在文章的知识共享许可协议中,除非在材料的署名栏中另有说明。如果材料未包含在文章的知识共享许可协议中,且您打算使用的材料不符合法律规定或超出许可使用范围,您需要直接从版权所有者处获得许可。要查看该许可的副本,请访问 http://creativecommons.org/licenses/by/4.0/。除非在数据的信用行中另有说明,否则知识共享公共领域专用豁免 (http://creativecommons.org/publicdomain/zero/1.0/) 适用于本文提供的数据。转载与许可引用本文Abbas, Q., Wilhelm, M., Kuster, B. et al. Correction:探索作物基因组:组装特征、基因预测准确性及对蛋白质组学研究的影响。BMC Genomics 25, 881 (2024). https://doi.org/10.1186/s12864-024-10796-zDownload citationPublished: 19 September 2024DOI: https://doi.org/10.1186/s12864-024-10796-zShare this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative.
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来源期刊
BMC Genomics
BMC Genomics 生物-生物工程与应用微生物
CiteScore
7.40
自引率
4.50%
发文量
769
审稿时长
6.4 months
期刊介绍: BMC Genomics is an open access, peer-reviewed journal that considers articles on all aspects of genome-scale analysis, functional genomics, and proteomics. BMC Genomics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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