reviewGenome biologyFeb 7, 2020GOLD OA

Eleven grand challenges in single-cell data science

DLDavid LähnemannJKJohannes KösterESEwa SzczurekDJDavis J. McCarthySCStephanie C. Hicks

Düsseldorf University Hospital · Helmholtz Centre for Infection Research · +61 more institutions

PubMed
Indexed incrossrefdatacitedoajpubmed

Abstract

The recent boom in microfluidics and combinatorial indexing strategies, combined with low sequencing costs, has empowered single-cell sequencing technology. Thousands-or even millions-of cells analyzed in a single experiment amount to a data revolution in single-cell biology and pose unique data science problems. Here, we outline eleven challenges that will be central to bringing this emerging field of single-cell data science forward. For each challenge, we highlight motivating research questions, review prior work, and formulate open problems. This compendium is for established researchers, newcomers, and students alike, highlighting interesting and rewarding problems for the coming years.

Citation impact

1,414
total citations
FWCI
72.85
Percentile
100%
References
403
Citations per year

Authors

51

Topics & keywords

Topics
Keywords
  • Compendium
  • Data science
  • Biology
  • Field (mathematics)
  • Computer science
  • Computational biology
No related works found for this paper.

Funding