Sequencing Coverage¶
How fully and evenly usable sequence reads represent a declared genomic target, expressed through per-position depth and aggregate depth or breadth summaries.
Core Idea¶
Sequencing coverage measures how usable reads represent positions in a declared genomic target. A position has a local read depth; across the target, analysts report means or medians, a depth distribution, and sometimes the fraction of bases above a specified threshold. These summaries answer different questions. A mean does not mean that every base was read equally often.
Scope of Application¶
The same positional measurement applies to whole genomes, exomes and targeted intervals. What counts as a usable aligned read, and what level of representation matters, depend on the assay and question. Nominal output-to-target redundancy is not necessarily effective mapped depth; physical span coverage is a distinct measure.
Clarity¶
Saying a sample has “30× coverage” leaves open whether the number is nominal, mapped or quality-filtered, and how many bases actually reach a required depth. State the target, counting rules and summary statistic to make the report interpretable.
Manages Complexity¶
A positional depth profile compresses millions of read overlaps into a few checkable summaries. Histograms and threshold breadth reveal unevenness that a single average can conceal, while local depth remains available for a question about a particular locus.
Abstract Reasoning¶
If the average is high but many target positions remain thinly represented, inspect distribution and read-eligibility rules before inferring that the data support the intended analysis. More output can help, but uneven mapping or target design may remain. Coverage supplies an evidence profile, not a guarantee of correct variant calls.
Knowledge Transfer¶
This metric transfers literally among genomics assays because positions, aligned reads and depth remain the carriers. Similar “coverage” language in software testing or surveys is an analogy to a broader target-representation idea, not the same named sequencing abstraction. See the staged V2 for source locations, examples and boundaries.
Neighborhood in Abstraction Space¶
Sequencing Coverage sits in a sparse region of the domain-specific corpus (68th percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.
Family — Molecular Biology & Genetic Engineering Methods (13 abstractions)
Nearest neighbors
- De Novo Transcriptome Assembly — 0.85
- YARA — 0.84
- Protein Function Prediction — 0.83
- GC Skew — 0.83
- Homology Modeling — 0.83
Computed from structural-signature embeddings · 2026-10-08