Sequencing thousands of single-cell genomes with combinatorial indexing
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.
Figure 1
This is a list of supplementary files associated with this preprint. Click to download.
Tables 1-3 Oligonucleotide Sequence Tables 1-3
SCI-seq Software Software and Instructions for Processing SCI-seq Data Updated versions of these tools can be found at http://sci-seq.sourceforge.net.
Posted 31 Jan, 2017
Sequencing thousands of single-cell genomes with combinatorial indexing
Posted 31 Jan, 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.
Figure 1
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