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Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects

CRISPR loss of function screens are powerful tools to interrogate biology but exhibit a number of biases and artifacts that can confound the results. Here, we introduce Chronos, an algorithm for inferring gene knockout fitness effects based on an explicit model of cell proliferation dynamics after C...

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Detalles Bibliográficos
Autores principales: Dempster, Joshua M., Boyle, Isabella, Vazquez, Francisca, Root, David E., Boehm, Jesse S., Hahn, William C., Tsherniak, Aviad, McFarland, James M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686573/
https://www.ncbi.nlm.nih.gov/pubmed/34930405
http://dx.doi.org/10.1186/s13059-021-02540-7
Descripción
Sumario:CRISPR loss of function screens are powerful tools to interrogate biology but exhibit a number of biases and artifacts that can confound the results. Here, we introduce Chronos, an algorithm for inferring gene knockout fitness effects based on an explicit model of cell proliferation dynamics after CRISPR gene knockout. We test Chronos on two pan-cancer CRISPR datasets and one longitudinal CRISPR screen. Chronos generally outperforms competitors in separation of controls and strength of biomarker associations, particularly when longitudinal data is available. Additionally, Chronos exhibits the lowest copy number and screen quality bias of evaluated methods. Chronos is available at https://github.com/broadinstitute/chronos. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02540-7.