Ontology highlight
ABSTRACT:
SUBMITTER: Lun ATL
PROVIDER: S-EPMC5668938 | biostudies-literature | 2017 Nov
REPOSITORIES: biostudies-literature
Lun Aaron T L ATL Calero-Nieto Fernando J FJ Haim-Vilmovsky Liora L Göttgens Berthold B Marioni John C JC
Genome research 20171013 11
By profiling the transcriptomes of individual cells, single-cell RNA sequencing provides unparalleled resolution to study cellular heterogeneity. However, this comes at the cost of high technical noise, including cell-specific biases in capture efficiency and library generation. One strategy for removing these biases is to add a constant amount of spike-in RNA to each cell and to scale the observed expression values so that the coverage of spike-in transcripts is constant across cells. This appr ...[more]