Build a Gene Transcript Isoform Exon Splice Junction Reconciler
Parse multi-transcript FASTA and CDS files from NCBI Datasets to detect exon boundary truncation errors. Structure verified splice junctions into FHIR Molecular Observation resources.
What you are building
The core problem, expected build, and operating context for this challenge.
Parse multi-transcript FASTA and CDS files from NCBI Datasets to detect exon boundary truncation errors. Structure verified splice junctions into FHIR Molecular Observation resources.
Bioinformatics Research Curator
Extract CDS and transcript sequences from downloaded NCBI gene data packages using Biopython SeqIO.
Calculate open reading frame coordinates and check terminal codon termination consistency.
Compare translated peptide sequences against expected NCBI protein records to detect premature truncation.
Format junction discrepancies and translational status into valid FHIR Observation resources.
FastAPI service exposing ingestion endpoints and a React review grid displaying transcript CDS alignment anomalies.
Download public gene packages via NCBI Datasets CLI using sample accessions like NM_020107.5 and NP_001334352.2 into mock storage. Starter examples below are synthetic. They are not downloaded records.
NCBI Datasets gene download Utilizes the NCBI Datasets gene package command options including --include gene,rna,cds,protein to process transcript and protein sequences.
pydantic-ai, biopython, fastapi. Pydantic AI enforces strict type validation on complex genomic coordinate models and FHIR R5 payload structures. Requires an LLM with structured output support via API or local execution for anomalous transcript explanation.
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.
Successfully parses FASTA CDS files using Biopython SeqIO with zero unhandled format exceptions.
Identifies stop codon mismatches between CDS translation and NCBI protein reference accessions.
Outputs compliant FHIR Observation JSON resources with coding system 'http://hl7.org/fhir/sid/ncbi-gene'.
```json [ { "input": { "gene_id": "672", "accession": "NM_020107.5", "cds_seq": "ATGGCTGTAGATAACTGA", "protein_seq": "MAVDN" }, "expected_output": { "status": "concordant", "orf_complete": true, "translated_length": 5, "fhir_observation": { "resourceType": "Observation", "status": "final", "code": { "coding": [ { "system": "http://hl7.org/fhir/sid/ncbi-gene", "code": "NM_020107.5" } ] }, "valueString": "Concordant CDS and protein translation" } } }, { "input": { "gene_id": "672", "accession": "NM_020107.5", "cds_seq": "ATGGCTGTA", "protein_seq": "MAVDN" }, "expected_output": { "status": "discordant", "orf_complete": false, "translated_length": 3, "fhir_observation": { "resourceType": "Observation", "status": "preliminary", "code": { "coding": [ { "system": "http://hl7.org/fhir/sid/ncbi-gene", "code": "NM_020107.5" } ] }, "valueString": "Premature truncation: length mismatch between CDS translation (3) and reference (5)" } } } ] ```
Handles only synthetic or public reference sequence accessions; produces no patient clinical diagnostic claims. Use mock external writes. Require human review before any real deployment.
Participation guide
Handles only synthetic or public reference sequence accessions; produces no patient clinical diagnostic claims. Use mock external writes and human review.
How work is evaluated
Successfully parses FASTA CDS files using Biopython SeqIO with zero unhandled format exceptions. Identifies stop codon mismatches between CDS translation and NCBI protein reference accessions. Outputs compliant FHIR Observation JSON resources with coding system 'http://hl7.org/fhir/sid/ncbi-gene'.
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
Extract CDS and transcript sequences from downloaded NCBI gene data packages using Biopython SeqIO. Calculate open reading frame coordinates and check terminal codon termination consistency. Compare translated peptide sequences against expected NCBI protein records to detect premature truncation. Format junction discrepancies and translational status into valid FHIR Observation resources.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Successfully parses FASTA CDS files using Biopython SeqIO with zero unhandled format exceptions. Identifies stop codon mismatches between CDS translation and NCBI protein reference accessions. Outputs compliant FHIR Observation JSON resources with coding system 'http://hl7.org/fhir/sid/ncbi-gene'.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
FastAPI service exposing ingestion endpoints and a React review grid displaying transcript CDS alignment anomalies.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Handles only synthetic or public reference sequence accessions; produces no patient clinical diagnostic claims.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Extract CDS and transcript sequences from downloaded NCBI gene data packages using Biopython SeqIO.
Calculate open reading frame coordinates and check terminal codon termination consistency.
Compare translated peptide sequences against expected NCBI protein records to detect premature truncation.
Format junction discrepancies and translational status into valid FHIR Observation resources.
Reference links and supporting material
Download public gene packages via NCBI Datasets CLI using sample accessions like NM_020107.5 and NP_001334352.2 into mock storage. 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.
- Extract CDS and transcript sequences from downloaded NCBI gene data packages using Biopython SeqIO. Calcula...
- Successfully parses FASTA CDS files using Biopython SeqIO with zero unhandled format exceptions. Identifies...
- FastAPI service exposing ingestion endpoints and a React review grid displaying transcript CDS alignment an...
- 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
No recipe freeze time is recorded.