Title: Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
Authors: Cuomo, ASE
Seaton, DD
McCarthy, DJ
Martinez, I
Bonder, MJ
Garcia-Bernardo, J
Amatya, S
Madrigal, P
Isaacson, A
Buettner, F
Knights, A
Natarajan, KN
Vallier, L
Marioni, JC
Chhatriwala, M
Stegle, O
Issue Year: 2020
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.
URI: https://publications.svi.edu.au/publications/7374
Other Identifiers 10.1038/s41467-020-14457-z
Publication type Article