Track Interpretation

4 properties

What the data in a genomic annotation file represents. Interpretation has two distinct halves — an algorithmic concept (the process/output, e.g. "peaks") and a biological concept (the entity, e.g. "TF binding site"). These draw on the DataType and FeatureType vocabularies respectively. Corresponds to FGA-WG issue #2 (data interpretation). This schema records what the data is; for what was done to it (read selection, QC filtering), see Track Provenance.

output_type

The algorithmic interpretation: the computational process or output the file represents (e.g. peaks, signal, alignment, count matrix). Draws on the DataType vocabulary.

DataType

Draws from the 162-term DataType vocabulary →

feature_type

The biological interpretation: the biological entity or concept the data represents (e.g. TF binding site, enhancer, CpG island). Draws on the FeatureType vocabulary.

FeatureType

Draws from the 75-term FeatureType vocabulary →

strand

The strand orientation the file represents. Factored out of compound DataType terms (e.g. "minus strand signal"). Absent means unstranded/unspecified.

StrandOrientation

Draws from the 4-term StrandOrientation vocabulary →

haplotype_resolution

The haplotype resolution the file represents: whether content is resolved to individual alleles (allele_specific), partitioned per parental haplotype (haplotype_specific), or phase-resolved without per-haplotype splitting (phased). A content facet factored out of compound DataType/FeatureType terms (e.g. "haplotype-specific contact matrix", "phased variant calls"). Absent means haplotype-collapsed / not phase-resolved.

HaplotypeResolution

Draws from the 3-term HaplotypeResolution vocabulary →

The strand and haplotype_resolution slots are content facets, factored out of compound DataType / FeatureType terms (e.g. "minus strand signal" → output_type: signal, strand: minus; "haplotype-specific contact matrix" → output_type: contact matrix, haplotype_resolution: haplotype_specific); the ENCODE round-trip is preserved in mappings/facet_decomposition.tsv. Both are intrinsic content, so they stay here. The processing facets read_multiplicity and filter_status describe what was done to the data and now live on Track Provenance.