Build a Transcript CDS Boundary and Reading Frame Validator
Inspect coding sequence coordinates in NCBI Datasets gene packages to ensure intact open reading frames. Translate sequences using Biopython and output FHIR Molecular Observation records.
What you are building
The core problem, expected build, and operating context for this challenge.
Inspect coding sequence coordinates in NCBI Datasets gene packages to ensure intact open reading frames. Translate sequences using Biopython and output FHIR Molecular Observation records.
Genomic Annotation Engineer
Extract CDS sequences and corresponding start/stop coordinates from an NCBI Datasets archive.
Compute reading frame integrity using Biopython Seq methods to detect internal stop codons.
Calculate codon usage frequencies and flag frameshift anomalies.
Format verified CDS status into structured FHIR Observation resources.
Console terminal CLI with an optional single-page HTML report summarizing reading frame errors and codon metrics.
Download human gene CDS packages via NCBI Datasets CLI using the --include cds option. Starter examples below are synthetic. They are not downloaded records.
NCBI Datasets gene download Utilizes the NCBI Datasets gene package --include cds,rna option to access exact coding sequence boundaries.
optuna, biopython, pandas. optuna tunes parameter thresholds for codon anomaly scoring and sequence length filter boundaries. Local Python execution environment; optional lightweight model for generating error summary messages.
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.
Detect sequences with lengths not divisible by 3 as frameshift anomalies.
Identify internal premature stop codons within input CDS records.
Generate FHIR Observation records specifying reading frame validity.
```json [ { "input": { "accession": "NM_001.1_cds", "sequence": "ATGGCCAAGGTCTGA" }, "expected_output": { "accession": "NM_001.1_cds", "length_mod_3": 0, "internal_stops": 0, "valid_frame": true, "fhir_observation": { "resourceType": "Observation", "status": "final", "code": { "text": "Reading Frame Conformance" }, "valueBoolean": true } } }, { "input": { "accession": "NM_002.1_cds", "sequence": "ATGGCTAACTGAACCA" }, "expected_output": { "accession": "NM_002.1_cds", "length_mod_3": 1, "internal_stops": 1, "valid_frame": false, "fhir_observation": { "resourceType": "Observation", "status": "preliminary", "code": { "text": "Reading Frame Conformance" }, "valueBoolean": false } } } ] ```
Focuses strictly on reading frame arithmetic and codon parsing on synthetic/mock sequences. No patient clinical impact. Use mock external writes. Require human review before any real deployment.
Participation guide
Focuses strictly on reading frame arithmetic and codon parsing on synthetic/mock sequences. No patient clinical impact. Use mock external writes and human review.
How work is evaluated
Detect sequences with lengths not divisible by 3 as frameshift anomalies. Identify internal premature stop codons within input CDS records. Generate FHIR Observation records specifying reading frame validity.
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 sequences and corresponding start/stop coordinates from an NCBI Datasets archive. Compute reading frame integrity using Biopython Seq methods to detect internal stop codons. Calculate codon usage frequencies and flag frameshift anomalies. Format verified CDS status into structured FHIR Observation resources.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Detect sequences with lengths not divisible by 3 as frameshift anomalies. Identify internal premature stop codons within input CDS records. Generate FHIR Observation records specifying reading frame validity.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Console terminal CLI with an optional single-page HTML report summarizing reading frame errors and codon metrics.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Focuses strictly on reading frame arithmetic and codon parsing on synthetic/mock sequences. No patient clinical impact.
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 sequences and corresponding start/stop coordinates from an NCBI Datasets archive.
Compute reading frame integrity using Biopython Seq methods to detect internal stop codons.
Calculate codon usage frequencies and flag frameshift anomalies.
Format verified CDS status into structured FHIR Observation resources.
Reference links and supporting material
Download human gene CDS packages via NCBI Datasets CLI using the --include cds option. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Optuna
Hyperparameter Optimization
Evaluated output
No output checks are configured.
- Extract CDS sequences and corresponding start/stop coordinates from an NCBI Datasets archive. Compute readi...
- Detect sequences with lengths not divisible by 3 as frameshift anomalies. Identify internal premature stop...
- Console terminal CLI with an optional single-page HTML report summarizing reading frame errors and codon me...
- 2 public reference cases
- 1 configured tool
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
- Optuna · 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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