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DiMSum: an error model and pipeline for analyzing deep mutational scanning data and diagnosing common experimental pathologies
Deep mutational scanning (DMS) enables multiplexed measurement of the effects of thousands of variants of proteins, RNAs, and regulatory elements. Here, we present a customizable pipeline, DiMSum, that represents an end-to-end solution for obtaining variant fitness and error estimates from raw seque...
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| Publicado no: | Genome Biol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7429474/ https://ncbi.nlm.nih.gov/pubmed/32799905 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-02091-3 |
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