A method for benchmarking genetic screens reveals a predominant mitochondrial bias

A method for benchmarking genetic screens reveals a predominant mitochondrial bias

Abstract We present FLEX (Functional evaluation of experimental perturbations), a pipeline that leverages several functional annotation resources to establish reference standards for benchmarking human genome‐wide CRISPR screen data and methods for analyzing them. FLEX provides a quantitative measur...

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Bibliographic Details
Main Authors: Mahfuzur Rahman, Maximilian Billmann, Michael Costanzo, Michael Aregger, Amy H Y Tong, Katherine Chan, Henry N Ward, Kevin R Brown, Brenda J Andrews, Charles Boone, Jason Moffat, Chad L Myers
Format: Article
Language:English
Published: Springer Nature 2021-05-01
Series:Molecular Systems Biology
Subjects:
computational evaluation
CRISPR screens
electron transport chain
Online Access:https://doi.org/10.15252/msb.202010013

Internet

https://doi.org/10.15252/msb.202010013

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