A quantitative read of the ciliary genome as it stands today.

Six figures and one table summarize the distribution of ciliopathy genes across subcellular compartments, disease categories, model organisms, and the published record — drawn exclusively from the current CiliaMiner workbook.

§ 1 Composition

Where these genes live, and what they cluster around.

Fig. IGene distribution by subcellular localization.

Method · Genes are bucketed by a case-insensitive match on the `localization` column of the genes sheet. Four mutually-exclusive categories; everything not matching Cilia, Basal Body, or Transition Zone falls to Others.

Fig. IIClassification by ciliopathy type.

Method · Percentages over distinct `ciliopathy_classification` values. Categories below 3% are folded into Other.

§ 2 Disease burden

Which disorders carry the largest curated gene sets.

Fig. IIITop diseases by associated gene count.

Method · Count of unique genes per `ciliopathy` value, ranked descending; entries labelled Unknown are excluded.

§ 3 Function & conservation

How the collection distributes functionally, and how far it reaches across the tree of life.

Fig. IVFunctional category distribution.

Method · Derived from the `functional_category` column. Entries missing a category fall into Unclassified.

Fig. VOrthologs per model organism.

Method · One count per (human gene × organism) pair where an ortholog symbol is present in the workbook.

Conservation tapers sharply beyond mouse and zebrafish — a measurable signal that cross-species annotation is still the field's largest open gap.
Observation from Fig. V

§ 4 Publication landscape

The curated record, read at scale.

Fig. VITop genes by PubMed publication count.

Method · Sum of the `pubmed_count` field per gene. PMID lists in `top25_recent_pmids` are aggregated but not weighted.