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DOI: 10.1038/protex.2017.001
¤ OpenAccess: Bronze
This work has “Bronze” OA status. This means it is free to read on the publisher landing page, but without any identifiable license.

Sequencing thousands of single-cell genomes with combinatorial indexing

Andrew Adey,Sarah A Vitak,Kristof Torkenczy,Jimi L. Rosenkrantz,Andrew Fields,Lena Christiansen,Melissa H. Wong,Lucia Carbone,Frank J. Steemers,Andrew Adey

Search engine indexing
Computational biology
Computer science
2017
Single-cell genome sequencing has proven valuable for the detection of somatic variation, particularly in the context of tumor evolution.Current technologies suffer from high library construction costs which restrict the number of cells that can be assessed and thus impose limitations on the ability to measure heterogeneity within a tissue.Here, we present Single cell Combinatorial Indexed Sequencing \(SCI-seq) as a means of simultaneously generating thousands of low-pass single cell libraries for somatic copy number variant detection.
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    Sequencing thousands of single-cell genomes with combinatorial indexing” is a paper by Andrew Adey Sarah A Vitak Kristof Torkenczy Jimi L. Rosenkrantz Andrew Fields Lena Christiansen Melissa H. Wong Lucia Carbone Frank J. Steemers Andrew Adey published in 2017. It has an Open Access status of “bronze”. You can read and download a PDF Full Text of this paper here.