DNase-seq_ENCSR006XED
DNase-seq ENCSR006XED [biosample_summary="Homo sapiens left lung tissue female embryo (98 days)"]
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| Id: | DNase-seq/ENCSR006XED |
| Type: | position_score |
| Version: | 0 |
| Summary: |
DNase-seq ENCSR006XED [biosample_summary="Homo sapiens left lung tissue female embryo (98 days)"] |
| Description: |
status: released biological_replicates: Rep 1 summary: female embryo (98 days) output_type: peaks audit_error: Alignment file {ENCFF626KHX|/files/ENCFF626KHX/} processed by DNase-seq ENCODE3 GRCh38 pipeline ( {ENCPL001DNS|/pipelines/ENCPL001DNS/} ) for GRCh38 assembly has 11746967 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_error: Alignment file {ENCFF544XES|/files/ENCFF544XES/} processed by DNase-seq ENCODE3 GRCh38 pipeline ( {ENCPL001DNS|/pipelines/ENCPL001DNS/} ) for GRCh38 assembly has 11687686 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_internal_action: Archived analysis {ENCAN149VZQ|/analyses/ENCAN149VZQ/} has in progress subobject quality standard {encode3-dnase|/quality-standards/encode3-dnase/} |
| Labels: |
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| ID | Type | Default annotation | Description | Histogram | Range |
|---|---|---|---|---|---|
| DNase-seq_ENCSR006XED | float |
DNase-seq_ENCSR006XED |
DNase-seq ENCSR006XED [biosample_summary="Homo sapiens left lung tissue female embryo (98 days)"]
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[2, 468] |
| Filename | Size | md5 |
|---|---|---|
| ENCFF796EIB.bed.gz | 504.23 KB | bf5b9e7522d6de643ace23664a7ace9e |
| ENCFF796EIB.bed.gz.dvc | 100.0 B | bb7afeeea42a885b16f385a2b802cbaa |
| ENCFF796EIB.tabix.bed.gz | 432.52 KB | e3227379656f98352afb49eb60edbe1d |
| ENCFF796EIB.tabix.bed.gz.dvc | 106.0 B | 35f1e8fdb4329deb75da81f6cce51ff7 |
| ENCFF796EIB.tabix.bed.gz.tbi | 313.74 KB | 9fa6954c4ac7d15f9cf9816ef1e662a1 |
| ENCFF796EIB.tabix.bed.gz.tbi.dvc | 110.0 B | c7020d780940ee7b5921af2d27ff7d28 |
| genomic_resource.yaml | 2.59 KB | 7b5d13230bca10ab601a50bc13064be6 |
| genomic_resource_original.yaml | 2.49 KB | 37e6f0787ee7ebbb1547d90ed2f108d0 |
| statistics/ |