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.
SEEK ID: https://publications.h-its.org/publications/1093
DOI: 10.1186/s13059-020-1926-6
Research Groups: Computational Molecular Evolution
Publication type: Journal
Journal: Genome Biology
Citation: Genome Biol 21(1)
Date Published: 1st Dec 2020
Registered Mode: by DOI
Views: 5982
Created: 4th Mar 2020 at 10:22
Last updated: 5th Mar 2024 at 21:24
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