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  Design and Analysis of Single-Cell Sequencing Experiments

Grün, D., & van Oudenaarden, A. (2015). Design and Analysis of Single-Cell Sequencing Experiments. Cell, 163, 799-810.

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 Creators:
Grün, Dominic1, 2, 3, Author
van Oudenaarden, Alexander1, 2, Author
Affiliations:
1Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), Utrecht, The Netherlands, ou_persistent22              
2University Medical Center Utrecht, Cancer Genomics Netherlands, Utrecht, The Netherlands, ou_persistent22              
3Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society, 79108 Freiburg, DE, ou_2243640              

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 Abstract: Recent advances in single-cell sequencing hold great potential for exploring biological systems with unprecedented resolution. Sequencing the genome of individual cells can reveal somatic mutations and allows the investigation of clonal dynamics. Single-cell transcriptome sequencing can elucidate the cell type composition of a sample. However, single-cell sequencing comes with major technical challenges and yields complex data output. In this Primer, we provide an overview of available methods and discuss experimental design and single-cell data analysis. We hope that these guidelines will enable a growing number of researchers to leverage the power of single-cell sequencing.

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Language(s): eng - English
 Dates: 20152015-11-05
 Publication Status: Issued
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: -
 Degree: -

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Title: Cell
Source Genre: Journal
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Publ. Info: -
Pages: 12 Volume / Issue: 163 Sequence Number: - Start / End Page: 799 - 810 Identifier: DOI: 10.1016/j.cell.2015.10.039