# Requirements Archive: v1.0 MVP

**Archived:** 2026-02-12
**Status:** SHIPPED

For current requirements, see `.planning/REQUIREMENTS.md`.

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# Requirements: Usher Cilia Candidate Gene Discovery Pipeline

**Defined:** 2026-02-11
**Core Value:** Produce a high-confidence, multi-evidence-backed ranked list of under-studied cilia/Usher candidate genes that is fully traceable — every gene's inclusion is explainable by specific evidence, and every gap is documented.

## v1 Requirements

Requirements for initial release. Each maps to roadmap phases.

### Data Infrastructure

- [ ] **INFRA-01**: Pipeline defines gene universe as all human protein-coding genes from Ensembl, excluding pseudogenes and transcripts lacking protein-level evidence
- [ ] **INFRA-02**: Pipeline uses Ensembl gene IDs as primary keys throughout, with validated mapping to HGNC symbols and UniProt accessions
- [ ] **INFRA-03**: Gene ID mapping includes validation gates that report percentage successfully mapped and flag unmapped genes for review
- [ ] **INFRA-04**: Pipeline retrieves data from external APIs (gnomAD, GTEx, HPA, UniProt, PubMed, model organism DBs) with rate limiting, retry logic, and persistent disk caching
- [ ] **INFRA-05**: All pipeline parameters (weights, thresholds, data source versions) are configurable via YAML config files with Pydantic validation
- [ ] **INFRA-06**: Every output includes provenance metadata: pipeline version, data source versions, download timestamps, config hash, and processing steps
- [ ] **INFRA-07**: Intermediate results are persisted to disk (Parquet/DuckDB) enabling restart-from-checkpoint without re-downloading data

### Evidence Layer 1: Gene Annotation Completeness

- [ ] **ANNOT-01**: Pipeline quantifies functional annotation depth per gene using GO term count, UniProt annotation score, and pathway membership
- [ ] **ANNOT-02**: Genes are classified into annotation tiers (well-annotated, partially-annotated, poorly-annotated) based on composite annotation metrics
- [ ] **ANNOT-03**: Annotation completeness score is normalized to 0-1 scale and stored as an evidence layer feature

### Evidence Layer 2: Tissue Expression

- [ ] **EXPR-01**: Pipeline retrieves tissue-level expression data from Human Protein Atlas and GTEx for retina, inner ear, and cilia-rich tissues
- [ ] **EXPR-02**: Pipeline retrieves published scRNA-seq data from CellxGene for photoreceptor subtypes and auditory hair cell subpopulations
- [ ] **EXPR-03**: Expression data is converted to comparable specificity metrics (e.g., tissue specificity index or relative rank) across data sources
- [ ] **EXPR-04**: Expression evidence score reflects enrichment in Usher-relevant tissues relative to global expression

### Evidence Layer 3: Protein Sequence & Structure Features

- [ ] **PROT-01**: Pipeline extracts protein length, domain composition, and domain count from UniProt/InterPro per gene
- [ ] **PROT-02**: Pipeline identifies presence of coiled-coil regions, scaffold/adaptor-type domains, and transmembrane domains
- [ ] **PROT-03**: Pipeline checks for known cilia-associated or sensory structure-associated motifs without presupposing conclusions
- [ ] **PROT-04**: Protein features are encoded as binary and continuous features normalized to 0-1 scale

### Evidence Layer 4: Subcellular Localization

- [ ] **LOCA-01**: Pipeline integrates high-throughput protein localization data from Human Protein Atlas subcellular and published centrosome/cilium proteomics
- [ ] **LOCA-02**: Localization evidence distinguishes direct experimental evidence from computational predictions
- [ ] **LOCA-03**: Localization score reflects proximity to cilia-related compartments (centrosome, basal body, cilium, stereocilia, transition zone)

### Evidence Layer 5: Genetic Constraint

- [ ] **GCON-01**: Pipeline retrieves loss-of-function tolerance metrics (pLI, LOEUF) from gnomAD per gene
- [ ] **GCON-02**: Constraint scores are filtered by coverage quality (mean depth >30x, >90% CDS covered) to avoid unreliable estimates
- [ ] **GCON-03**: Constraint evidence is interpreted as weak signal for "important but under-studied" rather than direct cilia involvement

### Evidence Layer 6: Animal Model Phenotypes

- [ ] **ANIM-01**: Pipeline retrieves gene knockout/perturbation phenotypes from MGI (mouse), ZFIN (zebrafish), and IMPC
- [ ] **ANIM-02**: Phenotypes are filtered for relevance to sensory function, balance, vision, hearing, and cilia morphology
- [ ] **ANIM-03**: Ortholog mapping uses established databases with confidence scoring, handling one-to-many mappings explicitly

### Literature Evidence

- [ ] **LITE-01**: Pipeline performs systematic PubMed queries per candidate gene for mentions in cilia, sensory organ, cytoskeleton, and cell polarity contexts
- [ ] **LITE-02**: Literature evidence distinguishes direct experimental evidence, incidental mentions, and high-throughput screen hits as qualitative tiers
- [ ] **LITE-03**: Literature score reflects evidence quality (not just publication count) to mitigate well-studied gene bias

### Scoring & Integration

- [ ] **SCOR-01**: Pipeline compiles known cilia/Usher gene set from CiliaCarta, SYSCILIA gold standard, and OMIM Usher entries as exclusion set and positive controls
- [ ] **SCOR-02**: Multi-evidence integration uses weighted rule-based scoring with configurable per-layer weights, producing a composite score per gene
- [ ] **SCOR-03**: Scoring handles missing data explicitly — genes lacking evidence in a layer receive "unknown" status rather than zero score
- [ ] **SCOR-04**: Known cilia/Usher genes are used as positive controls (should rank highly before exclusion) to validate scoring system
- [ ] **SCOR-05**: Quality control checks detect missing data rates, score distribution anomalies, and outliers per evidence layer

### Output & Reporting

- [ ] **OUTP-01**: Pipeline produces tiered candidate list (high/medium/low confidence) based on composite score and evidence breadth
- [ ] **OUTP-02**: Each candidate gene includes a multi-dimensional evidence summary showing which layers support it and which have gaps
- [ ] **OUTP-03**: Output is in structured machine-readable format (TSV and Parquet) compatible with downstream PPI and structural prediction tools
- [ ] **OUTP-04**: Pipeline generates basic visualizations: score distribution, evidence layer contribution plots, tier breakdown
- [ ] **OUTP-05**: Pipeline produces reproducibility report documenting all parameters, data versions, gene counts at each filtering step, and validation metrics

## v2 Requirements

Deferred to future release. Tracked but not in current roadmap.

### Advanced Scoring

- **ASCR-01**: Explainable scoring with SHAP-style per-gene evidence breakdown showing why each gene ranks where it does
- **ASCR-02**: Systematic under-annotation bias correction that downweights literature-heavy features for under-studied candidates
- **ASCR-03**: Sensitivity analysis with parameter sweep across weight configurations and rank stability metrics
- **ASCR-04**: Evidence conflict detection flagging genes with contradictory evidence patterns

### Advanced Output

- **AOUT-01**: Interactive HTML report with browsable results, sortable tables, and linked evidence sources
- **AOUT-02**: Negative control validation testing against housekeeping genes to assess specificity

### Extended Evidence

- **AEVD-01**: Cross-species homology confidence scoring using DIOPT with explicit ortholog quality thresholds
- **AEVD-02**: Cilia-specific knowledgebase integration (CilioGenics, CiliaMiner) as additional evidence layer
- **AEVD-03**: Incremental update capability to re-run with new data without full recomputation

## Out of Scope

Explicitly excluded. Documented to prevent scope creep.

| Feature | Reason |
|---------|--------|
| Real-time web dashboard | Overkill for research tool; static reports + CLI sufficient |
| GUI for parameter tuning | Research pipelines need reproducible CLI execution |
| Variant-level analysis | Out of scope for gene-level discovery; use Exomiser/LIRICAL for variant work |
| Custom alignment/variant calling | Well-solved problem; focus on gene prioritization logic |
| ML-based scoring model | Small positive control set insufficient for robust ML; rule-based more transparent |
| LLM-based automated literature scanning | High complexity, cost, and uncertainty; manual/programmatic PubMed queries sufficient |
| Bayesian evidence weight optimization | Requires larger training set; manual weight tuning sufficient for v1 |
| Private/proprietary datasets | Public data only for reproducibility |
| Downstream PPI network analysis | This pipeline produces input candidate list; PPI is separate |
| AlphaFold structural predictions | Downstream analysis, not part of discovery pipeline |

## Traceability

Which phases cover which requirements. Updated during roadmap creation.

| Requirement | Phase | Status |
|-------------|-------|--------|
| INFRA-01 | Phase 1 | Pending |
| INFRA-02 | Phase 1 | Pending |
| INFRA-03 | Phase 1 | Pending |
| INFRA-04 | Phase 1 | Pending |
| INFRA-05 | Phase 1 | Pending |
| INFRA-06 | Phase 1 | Pending |
| INFRA-07 | Phase 1 | Pending |
| ANNOT-01 | Phase 3 | Pending |
| ANNOT-02 | Phase 3 | Pending |
| ANNOT-03 | Phase 3 | Pending |
| EXPR-01 | Phase 3 | Pending |
| EXPR-02 | Phase 3 | Pending |
| EXPR-03 | Phase 3 | Pending |
| EXPR-04 | Phase 3 | Pending |
| PROT-01 | Phase 3 | Pending |
| PROT-02 | Phase 3 | Pending |
| PROT-03 | Phase 3 | Pending |
| PROT-04 | Phase 3 | Pending |
| LOCA-01 | Phase 3 | Pending |
| LOCA-02 | Phase 3 | Pending |
| LOCA-03 | Phase 3 | Pending |
| GCON-01 | Phase 2 | Pending |
| GCON-02 | Phase 2 | Pending |
| GCON-03 | Phase 2 | Pending |
| ANIM-01 | Phase 3 | Pending |
| ANIM-02 | Phase 3 | Pending |
| ANIM-03 | Phase 3 | Pending |
| LITE-01 | Phase 3 | Pending |
| LITE-02 | Phase 3 | Pending |
| LITE-03 | Phase 3 | Pending |
| SCOR-01 | Phase 4 | Pending |
| SCOR-02 | Phase 4 | Pending |
| SCOR-03 | Phase 4 | Pending |
| SCOR-04 | Phase 4 | Pending |
| SCOR-05 | Phase 4 | Pending |
| OUTP-01 | Phase 5 | Pending |
| OUTP-02 | Phase 5 | Pending |
| OUTP-03 | Phase 5 | Pending |
| OUTP-04 | Phase 5 | Pending |
| OUTP-05 | Phase 5 | Pending |

**Coverage:**
- v1 requirements: 40 total
- Mapped to phases: 40
- Unmapped: 0

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*Requirements defined: 2026-02-11*
*Last updated: 2026-02-11 after roadmap creation*