Single-cell transcriptome analysis using SINCERA pipeline
Genome-scale single-cell biology has recently emerged as a powerful technology with
important implications for both basic and medical research. There are urgent needs for the
development of computational methods or analytic pipelines to facilitate large amounts of
single-cell RNA-Seq data analysis. Here, we present a detailed protocol for SINCERA (SIN
gle CE ll RNA-Seq profiling A nalysis), a generally applicable analytic pipeline for
processing single-cell data from a whole organ or sorted cells. The pipeline supports the …
important implications for both basic and medical research. There are urgent needs for the
development of computational methods or analytic pipelines to facilitate large amounts of
single-cell RNA-Seq data analysis. Here, we present a detailed protocol for SINCERA (SIN
gle CE ll RNA-Seq profiling A nalysis), a generally applicable analytic pipeline for
processing single-cell data from a whole organ or sorted cells. The pipeline supports the …
Abstract
Genome-scale single-cell biology has recently emerged as a powerful technology with important implications for both basic and medical research. There are urgent needs for the development of computational methods or analytic pipelines to facilitate large amounts of single-cell RNA-Seq data analysis. Here, we present a detailed protocol for SINCERA (SINgle CEll RNA-Seq profiling Analysis), a generally applicable analytic pipeline for processing single-cell data from a whole organ or sorted cells. The pipeline supports the analysis for the identification of major cell types, cell type-specific gene signatures, and driving forces of given cell types. In this chapter, we provide step-by-step instructions for the functions and features of SINCERA together with application examples to provide a practical guide for the research community. SINCERA is implemented in R, licensed under the GNU General Public License v3, and freely available from CCHMC PBGE website, https://research.cchmc.org/pbge/sincera.html .
Springer