Pluto Bioinformatics

GSE78968: Effective Detection of Variation in Single Cell Transcriptome using MATQ-seq

Bulk RNA sequencing

We report here a new single-cell RNA-seq assay, Multiple Annealing and dC-Tailing based Quantitative single-cell RNA-seq (MATQ-seq), which provides the accuracy and sensitivity that enable the detection of transcriptional variations existing in single cells of the same type. We performed a systematic characterization of the technical noise using pool-and-split averaged single-cell samples and showed that the biological variations in single cells were observed with statistical significance. SOURCE: Kuanwei Sheng (sheng@bcm.edu) - Zong Lab Baylor College of Medicine