ArticleCell reports methods2023
An interactive web application for processing, correcting, and visualizing genome-wide pooled CRISPR-Cas9 screens.
Article in Cell reports methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Article
- CRISPR screening redefines therapeutic target identification and drug discovery with precision and scalability.Journal of pharmaceutical analysis · 2026Review
- BaCoN (Balanced Correlation Network) improves prediction of gene buffering.Molecular systems biology · 2025Article
- The synthetic lethal interaction between CDS1 and CDS2 is a vulnerability in uveal melanoma and across multiple tumor types.Nature genetics · 2025Article
- A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data.Genome biology · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A limitation of pooled CRISPR-Cas9 screens is the high false-positive rate in detecting essential genes arising from copy-number-amplified genomics regions. To solve this issue, we previously developed CRISPRcleanR: a computational method implemented as R/python package and in a dockerized version. CRISPRcleanR detects and corrects biased responses to CRISPR-Cas9 targeting in an unsupervised fashion, accurately reducing false-positive signals while maintaining sensitivity in identifying relevant genetic dependencies. Here, we present CRISPRcleanR
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Registered trials
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