Transcriptomics

Dataset Information

0

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


ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE78968 | GEO | 2016/12/31

SECONDARY ACCESSION(S): PRJNA314523

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-11-30 | GSE174293 | GEO
2022-11-30 | GSE199344 | GEO
2023-02-09 | GSE218632 | GEO
2023-02-09 | GSE218631 | GEO
| PRJNA904721 | ENA
2018-06-05 | GSE100620 | GEO
| PRJNA904727 | ENA
| PRJNA904726 | ENA
2013-04-04 | E-GEOD-42268 | biostudies-arrayexpress
2018-02-21 | GSE110823 | GEO