Doublet identification in single-cell sequencing data using scDblFinder

F1000Research · 2021 · 887 citations

• Computational biology
• Biology
• Physiology

can accurately identify most heterotypic doublets, and was already found by an independent benchmark to outcompete alternatives.

Eleven grand challenges in single-cell data science

Genome biology · 2020 · 1396 citations

• Computer Science
• Data science
• Biology

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.