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...

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Detalles Bibliográficos
Autores principales: Mandelboum, Shir, Manber, Zohar, Elroy-Stein, Orna, Elkon, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Meta-Research Article
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

Internet

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

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