Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells
Abstract Background Genome-wide loss-of-function profiling is widely used for systematic identification of genetic dependencies in cancer cells; however, the poor reproducibility of RNA interference (RNAi) screens has been a major concern due to frequent off-target effects. Currently, a detailed und...
Main Authors: | Alok Jaiswal, Gopal Peddinti, Yevhen Akimov, Krister Wennerberg, Sergey Kuznetsov, Jing Tang, Tero Aittokallio |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-06-01
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Series: | Genome Medicine |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13073-017-0440-2 |
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