<p>Analytical methods to identify tumor heterogeneity and rare subclones in single-cell DNA sequencing data from targeted panels</p>

Sombeet Sahu; Manimozhi Manivannan; Shu Wang; Dong Kim; Saurabh Gulati; Adam Sciambi; Nianzhen Li; Nigel Beard

doi:10.7490/f1000research.1117226.1

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Sahu S, Manivannan M, Wang S et al. Analytical methods to identify tumor heterogeneity and rare subclones in single-cell DNA sequencing data from targeted panels [version 1; not peer reviewed]. F1000Research 2019, 8(ISCB Comm J):1302 (poster) (https://doi.org/10.7490/f1000research.1117226.1)

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Analytical methods to identify tumor heterogeneity and rare subclones in single-cell DNA sequencing data from targeted panels

Sombeet Sahu¹, Manimozhi Manivannan, Shu Wang, Dong Kim, Saurabh Gulati, Adam Sciambi, Nianzhen Li, Nigel Beard

Published 31 Jul 2019 (https://doi.org/10.7490/f1000research.1117226.1)

Author Affiliations

¹ Mission Bio, USA

Copyright © 2019 Sahu S et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 31 Jul 2019

Analytical methods to identify tumor heterogeneity and rare subclones in single-cell DNA sequencing data from targeted panels
[version 1; not peer reviewed]

Sombeet Sahu¹, Manimozhi Manivannan, Shu Wang, Dong Kim, Saurabh Gulati, Adam Sciambi, Nianzhen Li, Nigel Beard

Author Affiliations

¹ Mission Bio, USA

Presented at

ISMB/ECCB 2019

Abstract

Competing Interests

S.S., M.M., S.W., D.K., A.S., N.L., N.B. are employees and shareholders of Mission Bio, Inc.

Keywords

single cell dna sequencing , mission bio, heterogeneity , clonal evolution, AML, tapestri

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