<p>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. We constructed libraries for 16,698 single cells from a combination of cultured cell lines, primate frontal cortex tissue, and two human adenocarcinomas, including a detailed assessment of subclonal variation within a pancreatic tumor.</p> <p>"Reprinted from Vitak, S.A., et. al. 2017 with permission from Nature Methods."</p>

Construction of Thousands of Single Cell Genome Sequencing Libraries    Using Combinatorial Indexing

Uterine Cervical Neoplasms study with WGS data on dbGaP (1 participants)

Construction of Thousands of Single Cell Genome Sequencing Libraries Using Combinatorial Indexing

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