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Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells
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 understandi...
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| Gepubliceerd in: | Genome Med |
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| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5452371/ https://ncbi.nlm.nih.gov/pubmed/28569207 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13073-017-0440-2 |
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