Eleven grand challenges in single-cell data science.
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Peer-reviewed
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Article
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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.
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Keywords
Animals, Data Science, Genomics, Humans, RNA-Seq, Single-Cell Analysis
Journal Title
Genome Biol
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Journal ISSN
1474-7596
1474-760X
1474-760X
Volume Title
21
Publisher
Springer Science and Business Media LLC
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Sponsorship
Cancer Research UK (22231)