Summary for annotation file set ENCSR767YTG
Summary
- Status
- released
- Accession
- ENCSR767YTG
- Description
- BPNet models trained on ZNF215 ChIP-seq data in K562 (ENCSR699RWG)(status:unvalidated)(not found direct motif (znf); low model performance (counts_pearson<0.5))
- Assay
- ChIP-seq
- Target
- ZNF215
- Biosample summary
- K562 (Homo sapiens)
- Biosample type
- cell line
- Organism
- human
- Annotation type
- BPNet-model
- Experimental input
Attribution
ENCODE4 project
- Lab
- Anshul Kundaje, Stanford
- Award
- U01HG009431 (Jonathan Pritchard, Stanford)
- External resources
- None submitted