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

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 comprehensively...

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Detalles Bibliográficos
Autores principales: Luo, Chongyuan, Liu, Hanqing, Xie, Fangming, Armand, Ethan J., Siletti, Kimberly, Bakken, Trygve E., Fang, Rongxin, Doyle, Wayne I., Stuart, Tim, Hodge, Rebecca D., Hu, Lijuan, Wang, Bang-An, Zhang, Zhuzhu, Preissl, Sebastian, Lee, Dong-Sung, Zhou, Jingtian, Niu, Sheng-Yong, Castanon, Rosa, Bartlett, Anna, Rivkin, Angeline, Wang, Xinxin, Lucero, Jacinta, Nery, Joseph R., Davis, David A., Mash, Deborah C., Satija, Rahul, Dixon, Jesse R., Linnarsson, Sten, Lein, Ed, Behrens, M. Margarita, Ren, Bing, Mukamel, Eran A., Ecker, Joseph R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Technology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004682/
https://www.ncbi.nlm.nih.gov/pubmed/35419551
http://dx.doi.org/10.1016/j.xgen.2022.100107

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004682/
https://www.ncbi.nlm.nih.gov/pubmed/35419551
http://dx.doi.org/10.1016/j.xgen.2022.100107

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