Build an NCBI Gene Synonym Drift and Nomenclature Auditor
Track gene symbol synonyms and catalog changes from NCBI Datasets gene metadata reports. Harmonize historical aliases into canonical identifiers mapped to FHIR Terminology bindings.
What you are building
The core problem, expected build, and operating context for this challenge.
Track gene symbol synonyms and catalog changes from NCBI Datasets gene metadata reports. Harmonize historical aliases into canonical identifiers mapped to FHIR Terminology bindings.
Bioinformatics Data Curator
Parse gene data reports extracted from NCBI Datasets JSON packages using Pydantic schemas.
Extract current official gene symbols, historical synonyms, and cross-referenced taxonomy tags.
Reconcile obsolete aliases against canonical FHIR Coding datatypes with human-readable narratives.
Output structured audit reports highlighting deprecated symbols and recommended canonical mappings.
Tabular browser interface showing obsolete aliases alongside canonical FHIR ConceptMap entries.
Ingest synthetic NCBI gene-service reports representing human genes A2M and ACRV1 from local mock files. Starter examples below are synthetic. They are not downloaded records.
NCBI Datasets gene download Utilizes NCBI Datasets symbol query pattern 'datasets download gene symbol ACRV1 A2M --taxon human' and resulting metadata reports.
pydantic-ai, biopython, streamlit. Enforces strict data model boundaries on multi-field NCBI metadata reports and nested FHIR terminology objects. General purpose hosted reasoning model or local LLM via Ollama for alias disambiguation.
Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.
Extracts all listed synonyms from NCBI gene data report JSON without data loss.
Maps uncurated symbols to valid FHIR Coding objects including system, code, and display fields.
Flags ambiguous historical aliases shared across multiple distinct Gene IDs.
```json [ { "input": { "gene_id": 2, "current_symbol": "A2M", "taxname": "Homo sapiens", "synonyms": [ "A2MD", "CPAMD5", "FWP007" ] }, "expected_output": { "canonical_symbol": "A2M", "gene_id": 2, "synonyms_found": 3, "fhir_coding": { "system": "https://www.ncbi.nlm.nih.gov/gene", "code": "2", "display": "A2M" }, "status": "harmonized" } }, { "input": { "gene_id": 9999, "current_symbol": "UNKNOWN", "taxname": "Homo sapiens", "synonyms": [] }, "expected_output": { "canonical_symbol": "UNKNOWN", "gene_id": 9999, "synonyms_found": 0, "fhir_coding": { "system": "https://www.ncbi.nlm.nih.gov/gene", "code": "9999", "display": "UNKNOWN" }, "status": "unresolved_synonyms" } } ] ```
Research data harmonization only; does not inform patient diagnostic reports or medication administration. Use mock external writes. Require human review before any real deployment.
Participation guide
Research data harmonization only; does not inform patient diagnostic reports or medication administration. Use mock external writes and human review.
How work is evaluated
Extracts all listed synonyms from NCBI gene data report JSON without data loss. Maps uncurated symbols to valid FHIR Coding objects including system, code, and display fields. Flags ambiguous historical aliases shared across multiple distinct Gene IDs.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Parse gene data reports extracted from NCBI Datasets JSON packages using Pydantic schemas. Extract current official gene symbols, historical synonyms, and cross-referenced taxonomy tags. Reconcile obsolete aliases against canonical FHIR Coding datatypes with human-readable narratives. Output structured audit reports highlighting deprecated symbols and recommended canonical mappings.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Extracts all listed synonyms from NCBI gene data report JSON without data loss. Maps uncurated symbols to valid FHIR Coding objects including system, code, and display fields. Flags ambiguous historical aliases shared across multiple distinct Gene IDs.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Tabular browser interface showing obsolete aliases alongside canonical FHIR ConceptMap entries.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Research data harmonization only; does not inform patient diagnostic reports or medication administration.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Parse gene data reports extracted from NCBI Datasets JSON packages using Pydantic schemas.
Extract current official gene symbols, historical synonyms, and cross-referenced taxonomy tags.
Reconcile obsolete aliases against canonical FHIR Coding datatypes with human-readable narratives.
Output structured audit reports highlighting deprecated symbols and recommended canonical mappings.
Reference links and supporting material
Ingest synthetic NCBI gene-service reports representing human genes A2M and ACRV1 from local mock files. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Pydantic AI
Typed Python agent framework.
Evaluated output
No output checks are configured.
- Parse gene data reports extracted from NCBI Datasets JSON packages using Pydantic schemas. Extract current...
- Extracts all listed synonyms from NCBI gene data report JSON without data loss. Maps uncurated symbols to v...
- Tabular browser interface showing obsolete aliases alongside canonical FHIR ConceptMap entries.
- 2 public reference cases
- 2 configured tools
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- Pydantic AI · Optional
- Pydantic AI · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
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