CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data

CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data

Cis-Regulatory elements (cis-REs) include promoters, enhancers, and insulators that regulate gene expression programs via binding of transcription factors. ATAC-seq technology effectively identifies active cis-REs in a given cell type (including from single cells) by mapping accessible chromatin at...

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Bibliographic Details
Main Authors: Eroglu, A. (Author), Khetan, S. (Author), Stitzel, M.L (Author), Tewhey, R. (Author), Thibodeau, A. (Author), Ucar, D. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
biology
cell culture
Cells, Cultured
Chromatin Immunoprecipitation Sequencing
Computational Biology
cytology
Deep Learning
DNA
genetics
human
Humans
Islets of Langerhans
monocyte
Monocytes
pancreas islet
procedures
regulatory sequence
Regulatory Sequences, Nucleic Acid
single cell analysis
Single-Cell Analysis
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Internet

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