Computational principles and challenges in single-cell data integration-Reference-Cited by-同舟云学术

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Computational principles and challenges in single-cell data integration

Published:2021-05-03 Issue:10 Volume:39 Page:1202-1215
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Argelaguet Ricard^ORCID,Cuomo Anna S. E.^ORCID,Stegle Oliver^ORCID,Marioni John C.^ORCID

Funder

EMBL International PhD Programme

European Commission

Core funding from EMBL and DKFZ

Cancer Research UK

Core funding from CRUK (grant number listed above) and EMBL

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://www.nature.com/articles/s41587-021-00895-7.pdf

Reference142 articles.

1. Navin, N. E. The first five years of single-cell cancer genomics and beyond. Genome Res. 25, 1499–1507 (2015).

2. Peng, G., Cui, G., Ke, J. & Jing, N. Using single-cell and spatial transcriptomes to understand stem cell lineage specification during early embryo development. Annu. Rev. Genomics Hum. Genet. 21, 163–181 (2020).

3. Clark, S. J. et al. scNMT-seq enables joint profiling of chromatin accessibility, DNA methylation and transcription in single cells. Nat. Commun. 9, 781 (2018).

4. Ma, S. et al. Chromatin potential identified by shared single-cell profiling of RNA and chromatin. Cell https://doi.org/10.1016/j.cell.2020.09.056 (2020).

5. Stoeckius, M. et al. Simultaneous epitope and transcriptome measurement in single cells. Nat. Methods 14, 865–868 (2017).

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