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Deciphering cell types by integrating scATAC-seq data with genome sequences

Deciphering cell types by integrating scATAC-seq data with genome sequences

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3226006791

Deciphering cell types by integrating scATAC-seq data with genome sequences

About this item

Full title

Deciphering cell types by integrating scATAC-seq data with genome sequences

Publisher

New York: Nature Publishing Group

Journal title

Nature Computational Science, 2024-04, Vol.4 (4), p.285-298

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group

More information

Scope and Contents

Contents

The single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) technology provides insight into gene regulation and epigenetic heterogeneity at single-cell resolution, but cell annotation from scATAC-seq remains challenging due to high dimensionality and extreme sparsity within the data. Existing cell annotation methods mo...

Alternative Titles

Full title

Deciphering cell types by integrating scATAC-seq data with genome sequences

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3226006791

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3226006791

Other Identifiers

E-ISSN

2662-8457

DOI

10.1038/s43588-024-00622-7

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