Single-cell Transcriptome Study as Big Data
- Author:
Yu PINGJIAN
1
;
Lin WEI
Author Information
1. Genomics and Bioinformatics Lab
- Keywords:
Single cell;
RNA-seq;
Big data;
Transcriptional heterogene-ity;
Signal normalization
- From:
Genomics, Proteomics & Bioinformatics
2016;(1):21-30
- CountryChina
- Language:Chinese
-
Abstract:
The rapid growth of single-cell RNA-seq studies (scRNA-seq) demands efficient data storage, processing, and analysis. Big-data technology provides a framework that facilitates the comprehensive discovery of biological signals from inter-institutional scRNA-seq datasets. The strategies to solve the stochastic and heterogeneous single-cell transcriptome signal are discussed in this article. After extensively reviewing the available big-data applications of next-generation sequencing (NGS)-based studies, we propose a workflow that accounts for the unique characteris-tics of scRNA-seq data and primary objectives of single-cell studies.
