Author Correction: A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data

IF 10.1 1区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Alessandro Vinceti, Rafaele M. Iannuzzi, Isabella Boyle, Lucia Trastulla, Catarina D. Campbell, Francisca Vazquez, Joshua M. Dempster, Francesco Iorio
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CDC performs consultancy for Droplet Biosciences and is a shareholder of Novartis. <b>FV receives research support from the Dependency Map Consortium, Riva Therapeutics, Bristol Myers Squibb, Merck, Illumina, and Deerfield Management. FV is on the scientific advisory board of GSK, is a consultant and holds equity in Riva Therapeutics and is a co-founder and holds equity in Jumble Therapeutics</b>. All other authors declare that they have no competing interests.</p><p>The original article [1] is corrected.</p><ol data-track-component=\"outbound reference\" data-track-context=\"references section\"><li data-counter=\"1.\"><p>Vinceti A, Iannuzzi RM, Boyle I, et al. A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data. Genome Biol. 2024;25:192. https://doi.org/10.1186/s13059-024-03336-1.</p><p>Article PubMed PubMed Central Google Scholar </p></li></ol><p>Download references<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><h3>Authors and Affiliations</h3><ol><li><p>Computational Biology Research Centre, Human Technopole, Milan, Italy</p><p>Alessandro Vinceti, Rafaele M. Iannuzzi, Lucia Trastulla &amp; Francesco Iorio</p></li><li><p>Broad Institute of Harvard and MIT, Cambridge, MA, USA</p><p>Isabella Boyle, Catarina D. Campbell, Francisca Vazquez &amp; Joshua M. Dempster</p></li></ol><span>Authors</span><ol><li><span>Alessandro Vinceti</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Rafaele M. Iannuzzi</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Isabella Boyle</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Lucia Trastulla</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Catarina D. Campbell</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Francisca Vazquez</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Joshua M. Dempster</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Francesco Iorio</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 Francesco Iorio.</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. 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Correction: A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data. <i>Genome Biol</i> <b>25</b>, 239 (2024). https://doi.org/10.1186/s13059-024-03387-4</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=\"2024-09-04\">04 September 2024</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s13059-024-03387-4</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 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Abstract

Correction: Genome Biol 25, 192 (2024)

https://doi.org/10.1186/s13059-024-03336-1


Following publication of the original article [1], the authors identified an omission in the completing interests section. The omitted text is given in bold below.

Competing interests

FI receives funding from Open Targets, a public-private initiative involving academia and industry and performs consultancy for the joint CRUK-AstraZeneca Functional Genomics Centre and for Mosaic TX. JD is a consultant for and holds equity in Jumble Therapeutics. CDC performs consultancy for Droplet Biosciences and is a shareholder of Novartis. FV receives research support from the Dependency Map Consortium, Riva Therapeutics, Bristol Myers Squibb, Merck, Illumina, and Deerfield Management. FV is on the scientific advisory board of GSK, is a consultant and holds equity in Riva Therapeutics and is a co-founder and holds equity in Jumble Therapeutics. All other authors declare that they have no competing interests.

The original article [1] is corrected.

  1. Vinceti A, Iannuzzi RM, Boyle I, et al. A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data. Genome Biol. 2024;25:192. https://doi.org/10.1186/s13059-024-03336-1.

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Authors and Affiliations

  1. Computational Biology Research Centre, Human Technopole, Milan, Italy

    Alessandro Vinceti, Rafaele M. Iannuzzi, Lucia Trastulla & Francesco Iorio

  2. Broad Institute of Harvard and MIT, Cambridge, MA, USA

    Isabella Boyle, Catarina D. Campbell, Francisca Vazquez & Joshua M. Dempster

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  1. Alessandro VincetiView author publications

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  2. Rafaele M. IannuzziView author publications

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  5. Catarina D. CampbellView author publications

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  6. Francisca VazquezView author publications

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  7. Joshua M. DempsterView author publications

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  8. Francesco IorioView author publications

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Corresponding author

Correspondence to Francesco Iorio.

Open Access 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.

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Vinceti, A., Iannuzzi, R.M., Boyle, I. et al. Author Correction: A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data. Genome Biol 25, 239 (2024). https://doi.org/10.1186/s13059-024-03387-4

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作者更正:校正 CRISPR-Cas9 筛选数据中已确定和未知来源偏差的计算方法基准
更正:Genome Biol 25, 192 (2024)https://doi.org/10.1186/s13059-024-03336-1Following 原文[1]发表后,作者发现利益完成部分有一处遗漏。竞争利益FI接受学术界和工业界共同参与的公私合作计划 Open Targets 的资助,并为 CRUK-AstraZeneca 联合功能基因组学中心和 Mosaic TX 提供咨询服务。JD 是 Jumble Therapeutics 的顾问并持有其股份。CDC 为 Droplet Biosciences 提供顾问服务,并且是诺华公司的股东。FV 从依赖性图谱联盟(Dependency Map Consortium)、Riva Therapeutics、Bristol Myers Squibb、Merck、Illumina 和 Deerfield Management 获得研究支持。FV 是葛兰素史克公司的科学顾问委员会成员,是 Riva Therapeutics 公司的顾问并持有该公司的股份,还是 Jumble Therapeutics 公司的联合创始人并持有该公司的股份。原文[1]已更正。A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data.Genome Biol. 2024;25:192. https://doi.org/10.1186/s13059-024-03336-1.Article PubMed PubMed Central Google Scholar Download references作者和单位意大利米兰人类技术中心计算生物学研究中心Alessandro Vinceti, Rafaele M. Iannuzzi, Lucia Trastulla & Francesco Iorio美国马萨诸塞州剑桥市哈佛和麻省理工学院布罗德研究所Isabella Boyle, Catarina D. Campbell, Francisca Vazquez & Joshua M. DempsterDempsterAuthorsAlessandro VincetiView Author publications您也可以在PubMed Google Scholar中搜索该作者Rafaele M. IannuzziView Author publications您也可以在PubMed Google Scholar中搜索该作者Isabella BoyleView Author publications您也可以在PubMed Google Scholar中搜索该作者Lucia TrastullaView Author publications您也可以在PubMed Google Scholar中搜索该作者Catarina D. CampbellCampbellView author publications您也可以在PubMed Google Scholar中搜索该作者Francisca VazquezView author publications您也可以在PubMed Google Scholar中搜索该作者Joshua M. DempsterView author publications您也可以在PubMed Google Scholar中搜索该作者Francesco IorioView author publications您也可以在PubMed Google Scholar中搜索该作者Corresponding authorCorrespondence to Francesco Iorio.开放存取 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、分发和复制本文,但须注明原作者和出处,提供知识共享许可协议链接,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,则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免责声明 (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Vinceti, A., Iannuzzi, R.M., Boyle, I. et al. Author Correction:用于纠正 CRISPR-Cas9 筛选数据中已确定和未知来源偏差的计算方法基准。Genome Biol 25, 239 (2024). https://doi.org/10.1186/s13059-024-03387-4Download citationPublished: 04 September 2024DOI: https://doi.org/10.1186/s13059-024-03387-4Share 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
Genome Biology
Genome Biology Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
21.00
自引率
3.30%
发文量
241
审稿时长
2 months
期刊介绍: Genome Biology stands as a premier platform for exceptional research across all domains of biology and biomedicine, explored through a genomic and post-genomic lens. With an impressive impact factor of 12.3 (2022),* the journal secures its position as the 3rd-ranked research journal in the Genetics and Heredity category and the 2nd-ranked research journal in the Biotechnology and Applied Microbiology category by Thomson Reuters. Notably, Genome Biology holds the distinction of being the highest-ranked open-access journal in this category. Our dedicated team of highly trained in-house Editors collaborates closely with our esteemed Editorial Board of international experts, ensuring the journal remains on the forefront of scientific advances and community standards. Regular engagement with researchers at conferences and institute visits underscores our commitment to staying abreast of the latest developments in the field.
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