Journal article

Gene length and detection bias in single cell RNA sequencing protocols

Belinda Phipson, Luke Zappia, Alicia Oshlack

F1000Research | F1000 Research Ltd | Published : 2017

Abstract

Background: Single cell RNA sequencing (scRNA-seq) has rapidly gained popularity for profiling transcriptomes of hundreds to thousands of single cells. This technology has led to the discovery of novel cell types and revealed insights into the development of complex tissues. However, many technical challenges need to be overcome during data generation. Due to minute amounts of starting material, samples undergo extensive amplification, increasing technical variability. A solution for mitigating amplification biases is to include unique molecular identifiers (UMIs), which tag individual molecules. Transcript abundances are then estimated from the number of unique UMIs aligning to a specific g..

View full abstract