Computational challenges and opportunities in spatially resolved transcriptomic data analysis

Nat Commun. 2021 Sep 6;12(1):5283. doi: 10.1038/s41467-021-25557-9.


Spatially resolved transcriptomic data demand new computational analysis methods to derive biological insights. Here, we comment on these associated computational challenges as well as highlight the opportunities for standardized benchmarking metrics and data-sharing infrastructure in spurring innovation moving forward.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Benchmarking
  • Cell Communication / genetics
  • Cells, Cultured
  • Gene Expression Profiling / statistics & numerical data*
  • Humans
  • Mathematical Computing*
  • Single-Cell Analysis / methods
  • Single-Cell Analysis / statistics & numerical data*
  • Transcriptome*