Single-cell mRNA quantification and differential analysis with Census

• Published in: Nature methods Vol. 14; no. 3; pp. 309 - 315
• Main Authors: Qiu, Xiaojie, Hill, Andrew, Packer, Jonathan, Lin, Dejun, Ma, Yi-An, Trapnell, Cole
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.03.2017; Nature Publishing Group
• Subjects: 631/114; 631/61; Algorithms; Analysis; Bioinformatics; Biological Microscopy; Biological Techniques; Biomedical Engineering/Biotechnology; Census; Comparative analysis; Gene expression; Gene Expression Profiling - methods; Gene Expression Regulation; High-Throughput Nucleotide Sequencing - methods; Life Sciences; Messenger RNA; Physiological aspects; Proteomics; Ribonucleic acid; RNA; RNA - genetics; Sequence Analysis, RNA - methods; Single-Cell Analysis - methods; Transcription (Genetics); Transcriptome - genetics

The Census tool converts single-cell RNA-seq relative read counts to relative transcript counts for more accurate differential gene expression and analysis in the absence of spike-ins or molecular barcodes. Single-cell gene expression studies promise to reveal rare cell types and cryptic states, but...