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Method Article
Sequencing thousands of single-cell genomes with combinatorial indexing
Andrew Adey
Adey Lab (Oregon Health & Science University)
Corresponding Author
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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.
Keywords
single cell, genome sequencing, combinatorial indexing, transposase
Figure 1
This is a list of supplementary files associated with this preprint. Click to download.
- supplement0.xlsx
Tables 1-3 Oligonucleotide Sequence Tables 1-3
- supplement0.zip
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.
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Associated Publications
Sequencing thousands of single-cell genomes with combinatorial indexing
by Sarah A Vitak, Kristof A Torkenczy, Jimi L Rosenkrantz, +6
Nature Methods (31 January, 2017)
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This is a preprint. It has not completed peer review.
Method Article
Sequencing thousands of single-cell genomes with combinatorial indexing
Andrew Adey
Adey Lab (Oregon Health & Science University)
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 31 Jan, 2017
No community comments so far
Metrics
Comments: 0
HTML Views: ...
Subject Areas
Biotechnology
License:
This work is licensed under a CC BY-NC 3.0 License. Read Full License
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
Associated Publications
Sequencing thousands of single-cell genomes with combinatorial indexing
by Sarah A Vitak, Kristof A Torkenczy, Jimi L Rosenkrantz, +6
Nature Methods (31 January, 2017)