Single-cell chromatin state analysis with Signac
By Tim Stuart, Avi Srivastava, Shaista Madad, Caleb A. Lareau, Rahul Satija. Nature Methods, 2021
1,363 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/d90e5875fb46b69aff259c1b6b8c6bd83f7dd06e
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In Molecular Biology
- Malte D. Luecken
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Citations in the corpus
- Best practices for single-cell analysis across modalities (2023, methodology): “To identify potential CREs, correlation-based methods are used to link peaks to genes within clusters of cells 140,143,156 .”
- Gene regulatory network inference in the era of single-cell multi-omics (2023, background): “Thus, treating chromatin accessibility data as binary might be detrimental for downstream analyses 160,161 , and methods that handle accessibility in a quantitative manner might improve GRN reconstruction 154,155,162,163 .”
- Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball patterned arrays (2021, methodology): “Then, Signac (Stuart et al., 2021) was employed to analyze the scATAC-seq data using standard process.”