type: position_score table: filename: ENCFF116BZN.tabix.bed.gz header_mode: none zero_based: true format: tabix chrom: column_index: 0 pos_begin: column_index: 1 pos_end: column_index: 2 scores: - id: ATAC-seq_ENCSR295TFY column_index: 3 type: float desc: signal histogram: type: number number_of_bins: 100 meta: summary: 'ATAC-seq ENCSR295TFY [TISSUE: Homo sapiens aorta tissue female child (16 years)]' description: '**status**: released **biological\_replicates**: Rep 1 **summary**: female child (16 years) **output\_type**: pseudoreplicated peaks **audit\_internal\_action**: Released analysis {ENCAN996NMK|/analyses/ENCAN996NMK/} has in progress subobject quality standard {encode4-atac-seq|/quality-standards/encode4-atac-seq/} **audit\_not\_compliant**: According to ENCODE4 standards, overlap peaks files in ATAC-seq assays processed by the uniform processing pipeline should have FRiP (fraction of reads in called peak regions) scores > 0.3. FRiP scores 0.2-0.3 are acceptable, and < 0.2 are not compliant. {ENCFF116BZN|/files/ENCFF116BZN/} processed by ATAC-seq ENCODE4 v1.9.1 GRCh38 pipeline has a FRiP score of 0.10. **audit\_warning**: NRF (Non Redundant Fraction) is equal to the result of the division of the number of reads after duplicates removal by the total number of reads. An NRF value < 0.7 is poor complexity, between 0.7 and 0.9 is moderate complexity, and >= 0.9 high complexity. NRF value > 0.9 is recommended, but > 0.7 is acceptable. ENCODE processed file {ENCFF505LJE|/files/ENCFF505LJE/} processed by ATAC-seq ENCODE4 v1.9.1 GRCh38 pipeline was generated from a library with NRF value of 0.897749.' labels: reference_genome: hg38/genomes/GRCh38-hg38 accession: ENCSR295TFY status: released assay_term_name: ATAC-seq simple_biosample_summary: female child (16 years) biosample_summary: Homo sapiens aorta tissue female child (16 years) replication_type: unreplicated biosample_ontology: /biosample-types/tissue_UBERON_0000947/ perturbed: false doi: 10.17989/ENCSR295TFY date_created: '2019-05-25T06:45:54.455607+00:00' date_released: '2022-06-16' submitter_comment: Despite lower enrichment scores and peaks, sequence-based predictive models (neural networks) fit to these data reveal useful motifs and motif annotations. Given the value of these rare samples, we release them with an enrichment QC warning indicating that these data likely have lower sensitivity for detecting accessible regulatory elements.