Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R
Abstract
Motivation Single-cell RNA sequencing (scRNA-seq) is increasingly used to study gene expression at the level of individual cells. However, preparing raw sequence data for further analysis is not a straightforward process. Biases, artifacts and other sources of unwanted variation are present in the data, requiring substantial time and effort to be spent on pre-processing, quality control (QC) and normalization. Results We have developed the...
Paper Details
Title
Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R
Published Date
Jan 14, 2017
Journal
Volume
33
Issue
8
Pages
1179 - 1186
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Notes
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