171 results found in Single-Cell Genomics
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faq
What types of T cells can be studied with the help of TraCeR analysis?
Stubbington et al. (Nature Methods, 2016), who developed TraCeR, detected transcripts associated with a variety of mouse T cell subtypes, including activated, proliferating, central memory and effector memory T cells. …
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faq
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faq
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brochure
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general
Polaris Support
Explore tutorials and publications, browse frequently asked questions, download technical documents, review training programs and service plans and locate the right IFCs, kits and reagents for your research. Still need help? Reach out to one of our support specialists. …
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general
C1 Support
Explore tutorials and publications, browse frequently asked questions, download technical documents, review training programs and service plans and locate the right IFCs, kits and reagents for your research. Still need help? Reach out to one of our support specialists. …
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Striking Balance in Throughput and Resolution
Christophe Lancrin on revealing new transcription factors using C1 and Biomark …
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article
Developing Bimodal Single-Cell Omics
Stanford’s Ansu Satpathy designed single-cell T-ATAC-seq, now available at Script Hub …
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Protocol
C1 System for Delta Gene Assays Protocol
Using C1 to Capture Cells from Cell Culture and Perform Preamplification Using Delta Gene Assays
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Quick Reference
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resource
Singular Analysis Toolset Practice Sets
Practice your Singular™ Analysis Toolset software skills with this set of sample scripts. Validate your technique before you commit valuable resources. …
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media
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media
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faq
Why do I need to do a quality control check on my raw sequencing data?
A quality control check on raw sequencing data produces better mapping results. …
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faq
Where can I view the data that has been excluded from variant analysis?
In the mult_allele_data file, you can see the data that has been excluded from variant analysis. …
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faq
How many biological replicates (cells) should be used for single-cell analysis on the C1 system?
The ability to identify significant differences in a single-cell experiment depends not only on the number of cells analyzed but also on other factors, including the degree of variation within the population analyzed, the number of genes assayed, and the ability of those genes to differentiate population variation. …
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system
Polaris
Seamless integration of cell biology and molecular analysis at the single-cell level …
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system
C1
The first automated solution for single-cell genomics, now capable of even more …
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media
Breaking Through Childhood Leukemia
Single-cell DNA sequencing reveals hidden variations to aid complex disease research …
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article
Correlating cause and consequence in single-cell systems
A look into the epigenetics and mechanisms of action behind cancer and therapy …