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. There are several strategies to solve the stochastic ...
Read More »The opportunities and challenges of single-cell RNA-Seq (scRNA-seq)
Single-cell transcriptomics provides us unprecedented opportunity to understand the transcriptional stochasticity and cellular heterogeneity in great detail, which are crucial for maintaining cell functions and for facilitating disease progression or treatment response. Such stochasticity and heterogeneity are always masked in ...
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