Single-cell Transcriptome Study as Big Data

Pingjian Yu, Wei Lin
2016 Genomics, Proteomics & Bioinformatics  
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
more » ... udies, we propose a workflow that accounts for the unique characteristics of scRNA-seq data and primary objectives of single-cell studies.
doi:10.1016/j.gpb.2016.01.005 pmid:26876720 pmcid:PMC4792842 fatcat:g6zc5bsl4vhynhimaxpoi3tatq