Unknown

Dataset Information

0

Single-cell chromatin state analysis with Signac.


ABSTRACT: The recent development of experimental methods for measuring chromatin state at single-cell resolution has created a need for computational tools capable of analyzing these datasets. Here we developed Signac, a comprehensive toolkit for the analysis of single-cell chromatin data. Signac enables an end-to-end analysis of single-cell chromatin data, including peak calling, quantification, quality control, dimension reduction, clustering, integration with single-cell gene expression datasets, DNA motif analysis and interactive visualization. Through its seamless compatibility with the Seurat package, Signac facilitates the analysis of diverse multimodal single-cell chromatin data, including datasets that co-assay DNA accessibility with gene expression, protein abundance and mitochondrial genotype. We demonstrate scaling of the Signac framework to analyze datasets containing over 700,000 cells.

SUBMITTER: Stuart T 

PROVIDER: S-EPMC9255697 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC10592931 | biostudies-literature
| S-EPMC6887110 | biostudies-literature
| S-EPMC4636926 | biostudies-literature
| S-EPMC10230264 | biostudies-literature
| S-EPMC10333525 | biostudies-literature
| S-EPMC6761983 | biostudies-literature
| S-EPMC9037575 | biostudies-literature
| S-EPMC3088773 | biostudies-literature
| S-EPMC5522033 | biostudies-literature
| S-EPMC7218568 | biostudies-literature