Chromium 单细胞CNV

Reveal Copy Number Variation, Cell by Cell

Chromium Single Cell CNV provides a comprehensive, scalable solution for revealing genome heterogeneity and understanding clonal evolution. Study disease pathogenesis or characterize neuronal mosaicism at the single cell level.

单细胞CNV

Resources:

单细胞CNV更新通知

在10x Genomics,我们致力于帮助您进行研究,并为您提供最佳的科学发现体验。今年早些时候,作为我们产品生命周期管理的一部分,我们向你们通报了对一些上市产品的改进。

截止到2020年12月31日,我们已经对Chromium单细胞CNV产品停止销售,并不会再发布这个产品的新版本。

我们感谢您的支持与合作,并会继续致力于为您提供最高质量的技术和软件支持。

请联系您的销售主管,现场应用科学家,或将相关问题发邮件至[email protected]

  • High resolution

    Accurately detect single cell CNV events at 2 Mb resolution.

  • High sensitivity

    Detects CNV events down to 100s of Kb on clusters of cells

  • Flexible and Scalable

    Profile 100 to 1000s of cells in a single sample

  • Streamlined data analysis

    Explore and interpret single cell gene expression profiles with easy-to-use software.

  • Simple lab workflow

    2-step workflow for sample to sequencing-ready library.

  • Diverse sample compatibility

    Demonstrated with cell lines, primary cells, fresh and frozen tissue.

Proven Results

Watch how customers are using Chromium Single Cell Gene Expression.

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Proven Results

Videos

Watch how customers are using Chromium Single Cell Gene Expression.

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Publications

Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line

Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line

Communications Biology, Jun 2020

Communications Biology, Jun 2020

SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing

SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing

Cell systems, May 2020

Cell systems, May 2020

RobustClone: a robust PCA method for tumor clone and evolution inference from single-cell sequencing data

RobustClone: a robust PCA method for tumor clone and evolution inference from single-cell sequencing data

Bioinformatics, May 2020

Bioinformatics, May 2020

Resources

Assessing Tumor Heterogeneity with Single Cell CNV

Assessing Tumor Heterogeneity with Single Cell CNV

Application Note

Application Note

Discover Genetic Heterogeneity in Cancer

Discover Genetic Heterogeneity in Cancer

Application Note

Application Note