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Stratifying tissue heterogeneity with scalable single-cell assays

Nature Methods volume 14, pages 238239 (2017) | Download Citation

Three methods dramatically improve the scale of single-cell genomic sequencing and structural assays, allowing for the hierarchical partitioning of cell populations within a tissue.

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References

  1. 1.

    et al. Nat. Methods 14, 167–173 (2017).

  2. 2.

    et al. Nat. Methods 14, 302–308 (2017).

  3. 3.

    et al. Nat. Methods 14, 263–266 (2017).

  4. 4.

    et al. PLoS Genet. 3, e155 (2007).

  5. 5.

    et al. Genome Biol. 11, R119 (2010).

  6. 6.

    et al. Nat. Genet. 46, 1343–1349 (2014).

  7. 7.

    et al. Genome Res. 24, 2041–2049 (2014).

  8. 8.

    et al. Science 348, 910–914 (2015).

  9. 9.

    et al. Nature 502, 59–64 (2013).

Download references

Author information

Affiliations

  1. Kun Zhang is in the Department of Bioengineering, University of California at San Diego, La Jolla, California, USA.

    • Kun Zhang

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Competing interests

The author declares no competing financial interests.

Corresponding author

Correspondence to Kun Zhang.

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DOI

https://doi.org/10.1038/nmeth.4209

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