Eleven grand challenges in single-cell data science
SourceGenome Biology, 21, 1, (2020), pp. 31
Article / Letter to editor
Display more detailsDisplay less details
SubjectRadboudumc 14: Tumours of the digestive tract RIMLS: Radboud Institute for Molecular Life Sciences
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.
Upload full text