The Importance of Computational Modeling in Stem Cell Research

Trends Biotechnol. 2021 Feb;39(2):126-136. doi: 10.1016/j.tibtech.2020.07.006. Epub 2020 Aug 13.

Abstract

The generation of large amounts of omics data is increasingly enabling not only the processing and analysis of large data sets but also the development of computational models in the field of stem cell research. Although computational models have been proposed in recent decades, we believe that the stem cell community is not fully aware of the potentiality of computational modeling in guiding their experimental research. In this regard, we discuss how single-cell technologies provide the right framework for computational modeling at different scales of biological organization in order to address challenges in the stem cell field and to guide experimentalists in the design of new strategies for stem cell therapies and treatment of congenital disorders.

Keywords: multiscale modeling; single-cell multiomics data; stem cell therapy.

Publication types

  • Review

MeSH terms

  • Computational Biology
  • Models, Theoretical*
  • Stem Cell Research*