Single nucleus multi-omics identifies human cortical cell regulatory genome diversity

• Main Authors: Chongyuan Luo (Author), Hanqing Liu (Author), Fangming Xie (Author), Ethan J. Armand (Author), Kimberly Siletti (Author), Trygve E. Bakken (Author), Rongxin Fang (Author), Wayne I. Doyle (Author), Tim Stuart (Author), Rebecca D. Hodge (Author), Lijuan Hu (Author), Bang-An Wang (Author), Zhuzhu Zhang (Author), Sebastian Preissl (Author), Dong-Sung Lee (Author), Jingtian Zhou (Author), Sheng-Yong Niu (Author), Rosa Castanon (Author), Anna Bartlett (Author), Angeline Rivkin (Author), Xinxin Wang (Author), Jacinta Lucero (Author), Joseph R. Nery (Author), David A. Davis (Author), Deborah C. Mash (Author), Rahul Satija (Author), Jesse R. Dixon (Author), Sten Linnarsson (Author), Ed Lein (Author), M. Margarita Behrens (Author), Bing Ren (Author), Eran A. Mukamel (Author), Joseph R. Ecker (Author)
• Format: Book
• Published: Elsevier, 2022-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary: Single-cell technologies measure unique cellular signatures but are typically limited to a single modality. Computational approaches allow the fusion of diverse single-cell data types, but their efficacy is difficult to validate in the absence of authentic multi-omic measurements. To compre...