Skip to Main Content

Paper Details

Profiling the quantitative occupancy of myriad transcription factors across conditions by modeling chromatin accessibility data.
Genome Res
0
2022
ATAC, DNase, chromatin accessibility, genome, human, human cell, human cell types, human genome
Author NameAffiliation
Alexias SafiCenter for Genomic and Computational Biology, Duke University
Alexias SafiDuke University Medical Center
Alok K TewariDana-Farber Cancer Institute
Lingyun SongCenter for Genomic and Computational Biology, Duke University
Lingyun SongDuke University Medical Center
Timothy E ReddyDuke University
Timothy E ReddyDuke University
Timothy E ReddyDuke University Medical Center
Timothy E Reddy
Timothy E ReddyCenter for Genomic and Computational Biology, Duke University
Gregory E CrawfordDuke University
Gregory E CrawfordCenter for Genomic and Computational Biology, Duke University
Gregory E CrawfordDuke University Medical Center
Gregory E CrawfordDuke University
Gregory E CrawfordCenter for Genomic and Computational Biology, Duke University
Gregory E CrawfordDuke University Medical Center
  • 1 - 16

Datasets