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URL: https://dx.doi.org/10.17504/protocols.io.bfhpjj5n

Authors: Fang Wang, Qihan Wang, Vakul Mohanty, Shaoheng Liang, Jinzhuang Dou, Jincheng Han, Darlan Conterno Minussi, Ruli Gao, Li Ding, Nicholas Navin, Ken Chen

Summary: This protocol describes two innovative algorithms: .justify:after { content: ""; display:inline-block; width: 100%; } 1) A minimal event distance aneuploidy lineage tree (MEDALT) inference algorithm allows implementing genetically meaningful distances and is scalable to current single-cell datasets containing thousands of cells, and .justify:after { content: ""; display:inline-block; width: 100%; } 2) A statistical routine, Lineage Speciation Analysis (LSA), enables prioritization of CNAs and genes that are non-randomly associated with the observed lineage expansion and thereby are potentially functionally important. .justify:after { content: ""; display:inline-block; width: 100%; } .justify:after { content: ""; display:inline-block; width: 100%; }

Affiliations: The University of Texas MD Anderson Cancer center, Rice University, The University of Texas MD Anderson Cancer center, The University of Texas MD Anderson Cancer center, The University of Texas MD Anderson Cancer center, The University of Texas MD Anderson Cancer center, The University of Texas MD Anderson Cancer center, Houston Methodist Research Institute, McDonnell Genome Institute Washington University School of Medicine, The University of Texas MD Anderson Cancer center, The University of Texas MD Anderson Cancer center

External URL: https://www.biorxiv.org/content/10.1101/2020.04.12.038281v1.full

Version: 1

Publication Date: 2020

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