| Id: | DNase-seq/ENCSR214XJO |
| Type: | position_score |
| Version: | 0 |
| Summary: |
DNase-seq ENCSR214XJO [biosample_summary="Homo sapiens lung tissue female embryo (120 days)"] |
| Description: |
status: released biological_replicates: Rep 1 summary: female embryo (120 days) output_type: peaks audit_internal_action: Archived analysis {ENCAN704RYM|/analyses/ENCAN704RYM/} has in progress subobject quality standard {encode3-dnase|/quality-standards/encode3-dnase/} audit_warning: Alignment file {ENCFF408YYO|/files/ENCFF408YYO/} processed by DNase-seq ENCODE3 GRCh38 pipeline ( {ENCPL001DNS|/pipelines/ENCPL001DNS/} ) for GRCh38 assembly has 28022280 mapped reads. According to ENCODE standards, conventional DNase-seq profile requires a minimum of 20 million uniquely mapped reads to generate a reliable SPOT (Signal Portion of Tags) score. The recommended value is > 50 million. For deep, foot-printing depth DNase-seq 150-200 million uniquely mapped reads are recommended. (See {ENCODE DNase-seq data standards|/data-standards/dnase-seq/}) audit_warning: Alignment file {ENCFF276MYG|/files/ENCFF276MYG/} processed by DNase-seq ENCODE3 GRCh38 pipeline ( {ENCPL001DNS|/pipelines/ENCPL001DNS/} ) for GRCh38 assembly has 27826342 mapped reads. According to ENCODE standards, conventional DNase-seq profile requires a minimum of 20 million uniquely mapped reads to generate a reliable SPOT (Signal Portion of Tags) score. The recommended value is > 50 million. For deep, foot-printing depth DNase-seq 150-200 million uniquely mapped reads are recommended. (See {ENCODE DNase-seq data standards|/data-standards/dnase-seq/}) |
| Labels: |
|
| ID | Type | Default annotation | Description | Histogram | Range |
|---|---|---|---|---|---|
| DNase-seq_ENCSR214XJO | float |
DNase-seq_ENCSR214XJO |
DNase-seq ENCSR214XJO [biosample_summary="Homo sapiens lung tissue female embryo (120 days)"]
|
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[3, 1.5e+03] |
| Filename | Size | md5 |
|---|---|---|
| ENCFF909JGU.bed.gz | 955.68 KB | 251860b20866dd116cc9ed19f3cf6307 |
| ENCFF909JGU.bed.gz.dvc | 100.0 B | aa54ca30e8ba0494cd6e0811af7d256b |
| ENCFF909JGU.tabix.bed.gz | 823.51 KB | 3429a3340aebab2e1374f8003705fed6 |
| ENCFF909JGU.tabix.bed.gz.dvc | 106.0 B | 703693a6840ab0e42d2fdc192f20dc95 |
| ENCFF909JGU.tabix.bed.gz.tbi | 485.67 KB | a5032a194dcac73ad5e463eae0659823 |
| ENCFF909JGU.tabix.bed.gz.tbi.dvc | 110.0 B | 9c631a61f5b8749772c81f1022c38ccb |
| genomic_resource.yaml | 2.58 KB | 664f229b93170e2947c314c18eb1509b |
| genomic_resource_original.yaml | 2.49 KB | 3651e73bf1ccfe2ba6763ab5ad09a354 |
| statistics/ |