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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Bibliographic Details
Main Authors: Shir Mandelboum, Zohar Manber, Orna Elroy-Stein, Ran Elkon
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-11-01
Series:PLoS Biology
Online Access:https://doi.org/10.1371/journal.pbio.3000481