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Author Correction: A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data
Genome Biology ( IF 10.1 ) Pub Date : 2024-09-04 , DOI: 10.1186/s13059-024-03387-4
Alessandro Vinceti 1 , Rafaele M Iannuzzi 1 , Isabella Boyle 2 , Lucia Trastulla 1 , Catarina D Campbell 2 , Francisca Vazquez 2 , Joshua M Dempster 2 , Francesco Iorio 1
Affiliation  

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

Authors
  1. Alessandro VincetiView author publications

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  2. Rafaele M. IannuzziView author publications

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  3. Isabella BoyleView author publications

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  4. Lucia TrastullaView 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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中文翻译：

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：基因组生物学 25, 192 (2024)

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



原始文章 [1] 发表后，作者在填写兴趣部分中发现了一个遗漏。省略的文本在下面以粗体给出。

 利益竞争


FI 获得 Open Targets 的资助，这是一项涉及学术界和工业界的公私合作倡议，并为 CRUK-阿斯利康联合功能基因组学中心和 Mosaic TX 提供咨询服务。 JD 是 Jumble Therapeutics 的顾问并持有其股权。 CDC 为 Droplet Biosciences 提供咨询服务，并且是诺华公司的股东。 FV 获得了 Dependency Map Consortium、Riva Therapeutics、Bristol Myers Squibb、Merck、Illumina 和 Deerfield Management 的研究支持。 FV 是 GSK 科学顾问委员会成员，是 Riva Therapeutics 的顾问并持有股权，也是 Jumble Therapeutics 的联合创始人并持有股权。所有其他作者均声明他们没有利益冲突。


原文章[1]已更正。


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 作者和单位


  1. 计算生物学研究中心，Human Technopole，米兰意大利


    亚历山德罗·文塞蒂、拉斐尔·M·伊安努齐、露西娅·特拉斯图拉和弗朗西斯科·伊奥里奥


  2. 哈佛大学和麻省理工学院博德研究所，美国马萨诸塞州剑桥


    伊莎贝拉·博伊尔、卡塔琳娜·D·坎贝尔、弗朗西斯卡·巴斯克斯和约书亚·M·登普斯特

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  1. 亚历山德罗·文塞蒂查看作者出版物


    您也可以在PubMed中搜索该作者 谷歌学术


  2. Rafaele M. Iannuzzi查看作者出版物


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  4. Lucia Trastulla查看作者出版物


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  5. Catarina D. Campbell查看作者出版物


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  6. 弗朗西斯卡·巴斯克斯查看作者出版物


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  7. Joshua M. Dempster查看作者出版物


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  8. Francesco Iorio查看作者出版物


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Vinceti, A.、Iannuzzi, RM、Boyle, I.等人。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。基因组生物学25 , 239 (2024)。 https://doi.org/10.1186/s13059-024-03387-4

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更新日期：2024-09-04
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