What is it about?
The rapid growth of single-cell RNA-seq studies (scRNA-seq) demands efficient data storage, processing and analysis. The volume and complexity of resulting data make it a paradigm of big data. Big-data technology provides a framework that facilitates the comprehensive discovery of biological insights from inter-institutional scRNA-seq datasets. Strategies are required to solve the stochastic and heterogeneous single-cell transcriptome signal.
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This page is a summary of: Big data analytics in single‐cell transcriptomics: Five grand opportunities, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, May 2021, Wiley,
DOI: 10.1002/widm.1414.
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