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Recurrent functional misinterpretation of RNA-seq data caused by sample-specific gene length bias
Data normalization is a critical step in RNA sequencing (RNA-seq) analysis, aiming to remove systematic effects from the data to ensure that technical biases have minimal impact on the results. Analyzing numerous RNA-seq datasets, we detected a prevalent sample-specific length effect that leads to a...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6850523/ https://www.ncbi.nlm.nih.gov/pubmed/31714939 http://dx.doi.org/10.1371/journal.pbio.3000481 |