clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers

clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers

Abstract Measuring gene expression of tumor clones at single-cell resolution links functional consequences to somatic alterations. Without scalable methods to simultaneously assay DNA and RNA from the same single cell, parallel single-cell DNA and RNA measurements from independent cell populations m...

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Bibliographic Details
Main Authors: Kieran R. Campbell, Adi Steif, Emma Laks, Hans Zahn, Daniel Lai, Andrew McPherson, Hossein Farahani, Farhia Kabeer, Ciara O’Flanagan, Justina Biele, Jazmine Brimhall, Beixi Wang, Pascale Walters, IMAXT Consortium, Alexandre Bouchard-Côté, Samuel Aparicio, Sohrab P. Shah
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Genome Biology
Online Access:http://link.springer.com/article/10.1186/s13059-019-1645-z

Internet

http://link.springer.com/article/10.1186/s13059-019-1645-z

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