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executive-summary-combined

Executive summary: combined state-of-the-project document

Metadata

Statusdone
Assignedagent-576
Agent identityf51439356729d112a6c404803d88015d5b44832c6c584c62b96732b63c2b0c7e
Created2026-04-02T19:18:29.538611497+00:00
Started2026-04-02T19:18:55.973366408+00:00
Completed2026-04-02T19:22:31.862302028+00:00
Tagsreport,executive,critical, eval-scheduled
Eval score0.58
└ blocking impact0.75
└ completeness0.52
└ coordination overhead0.85
└ correctness0.45
└ downstream usability0.65
└ efficiency0.85
└ intent fidelity0.88
└ style adherence0.80

Description

CRITICAL CONTEXT

PHR = Pseudohomologous Region — subtelomeric regions where non-homologous chromosomes share high-identity sequence due to inter-chromosomal exchange. Read subtelomeric_analysis_report.md for authoritative definitions.

Goal

Create a single executive summary document that a reader can go through top-to-bottom to understand everything we've done and found. This is NOT a new analysis — it's a curated compilation of our existing results.

Approach

Step 1: Read all meaningful documents (in this order)

  1. TODO.md — the original task specification
  2. subtelomeric_analysis_report.md — Andrea's report (for context, just skim section 9)
  3. phr_gene_enrichment_report.md — our main report
  4. phr_gene_enrichment_synthesis.md — synthesis narrative
  5. copy_aware_findings_summary.md — copy-number-aware results (THE key finding)
  6. enriched_genes_per_arm.md — per-arm gene mapping
  7. deep_research_olfactory_receptors.md — OR gene deep dive
  8. deep_research_dux4_frg2.md — DUX4/FRG2 deep dive
  9. deep_research_tubb8.md — TUBB8 deep dive
  10. deep_research_gtp_binding.md — GTP binding deep dive
  11. deep_research_synthesis.md — integrated biology narrative
  12. validation_report.md — data validation results
  13. fact_check_report.md — fact-check results
  14. terminology_validation_report.md — PHR terminology fixes

Step 2: Also read the key data files for reference

  • gene_copy_summary.csv — copy counts per gene family
  • phr_no_acro_GO_BP_enrichment.csv — enrichment results
  • phr_coding_only_GO_MF_enrichment.csv — protein-coding enrichment
  • copy_weighted_vs_deduplicated_comparison.csv — copy-aware comparison

Step 3: Write the executive summary

Save as EXECUTIVE_SUMMARY.md. Structure:

1. Project Overview (1 paragraph)

What are PHRs, what was Angela's original analysis, what did we set out to do.

2. What We Did (bullet list)

Pipeline steps, in order, with one line each.

3. Key Finding: Copy-Number-Aware Enrichment (2-3 paragraphs)

The headline result. Standard ORA was misleading. Copy-aware analysis reveals the true picture. Include the actual numbers (598x OR enrichment, 928x transcription regulation, etc.).

4. Gene Family Catalog (table)

Master table: Gene Family | Copies | Arms | Communities | Function | Disease Links Include ALL 23 protein-coding families with their copy counts and arm lists.

5. Deep Research Highlights (1 paragraph each)

  • OR4F olfactory receptors
  • DUX4/FRG2 transcription factors
  • TUBB8 cytoskeletal genes
  • GTP binding / GPCR genes

6. Comparison to Angela's 1Mb GSEA

What changed, what sharpened, what disappeared.

7. Comparison to Andrea's Section 9

How our findings reconcile with the community-level analysis.

8. Methods Note: Copy-Number-Aware Enrichment

Brief description of the methodology for the paper.

9. Data Files Inventory

List of all output files with one-line descriptions.

10. Known Limitations & Caveats

  • Small query set (23 gene families)
  • Confabulation risk in deep research docs (flag unverified claims)
  • Copy-aware p-values may be overly optimistic (same gene counted multiple times)

Style guidelines

  • Use actual numbers from the data files, not approximations
  • Every gene family lists ALL arms (not just 1-2)
  • PHR = Pseudohomologous Region — NEVER expand it differently
  • Be confident about significant results but honest about limitations
  • This should be readable in 10-15 minutes

Validation

  • Document exists at EXECUTIVE_SUMMARY.md
  • All numbers trace to actual CSV data
  • PHR is correctly defined throughout
  • All 23 protein-coding gene families appear in the catalog
  • The document is self-contained (readable without other files)

Depends on

Required by

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