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Genome Biol
Genome Biol
Genome Biology
1474-7596
1474-760X
BioMed Central London

39232777
3387
10.1186/s13059-024-03387-4
Author Correction
Author Correction: A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data
Vinceti Alessandro 1
Iannuzzi Rafaele M. 1
Boyle Isabella 2
Trastulla Lucia 1
Campbell Catarina D. 2
Vazquez Francisca 2
Dempster Joshua M. 2
Iorio Francesco francesco.iorio@fht.org

1
1 https://ror.org/029gmnc79 grid.510779.d 0000 0004 9414 6915 Computational Biology Research Centre, Human Technopole, Milan, Italy
2 https://ror.org/05a0ya142 grid.66859.34 0000 0004 0546 1623 Broad Institute of Harvard and MIT, Cambridge, MA USA
4 9 2024
4 9 2024
2024
25 239© The Author(s) 2024
2024
https://creativecommons.org/licenses/by/4.0/ 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.
issue-copyright-statement© BioMed Central Ltd., part of Springer Nature 2024
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pmc 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.
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Reference

1. Vinceti A Iannuzzi RM Boyle I A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data Genome Biol 2024 25 192 10.1186/s13059-024-03336-1 39030569
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. 10.1186/s13059-024-03336-1.39030569 10.1186/s13059-024-03336-1
