Build an Eukaryotic Coding Sequence Reading Frame Validator
Inspect multi-transcript FASTA packages from NCBI Datasets to detect reading frame shifts. Translate sequences using Biopython and structure discrepancy logs into FHIR Observation payloads.
What you are building
The core problem, expected build, and operating context for this challenge.
Inspect multi-transcript FASTA packages from NCBI Datasets to detect reading frame shifts. Translate sequences using Biopython and structure discrepancy logs into FHIR Observation payloads.
Transcriptomics Specialist
Ingest CDS FASTA files downloaded via NCBI Datasets command-line utility.
Translate coding nucleotide sequences using Biopython standard genetic code translation tables.
Check for expected start codons, absence of internal stops, and exact nucleotide triplet multiples.
Format verification summaries into FHIR Molecular Observation entries with flagged discrepancy codes.
Terminal command-line utility with side-by-side terminal rendering of nucleotide triplets and amino acids.
Download human transcript packages for gene IDs 1, 2, and 3 using NCBI Datasets sandbox mocks. Starter examples below are synthetic. They are not downloaded records.
NCBI Datasets gene download Uses NCBI Datasets command 'datasets download gene gene-id 1 2 3 --include cds' to retrieve coding sequences.
ollama, biopython, pydantic-ai. Runs local open language models to generate explanations of translational discrepancies without external API costs. Local deployment of an instruction-tuned model such as Llama 3 8B via Ollama.
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.
Translates CDS sequences into peptide strings using Biopython Bio.Seq module.
Detects non-triplet CDS lengths and flags them with explicit frameshift indicators.
Exports valid FHIR R5 Observation resources containing codon length and frame evaluation.
```json [ { "input": { "cds_id": "CDS_001", "sequence": "ATGGCCATTGTAATGGGCCGCTGAAAGGGTGCCCGATAG" }, "expected_output": { "cds_id": "CDS_001", "length_bp": 39, "is_triplet_multiple": true, "start_codon_valid": true, "internal_stops_count": 1, "validation_status": "flagged_internal_stop" } }, { "input": { "cds_id": "CDS_002", "sequence": "ATGGCCATTGTAATGGGCCGCTGAAAGGGTGCCCGATA" }, "expected_output": { "cds_id": "CDS_002", "length_bp": 38, "is_triplet_multiple": false, "start_codon_valid": true, "internal_stops_count": 0, "validation_status": "frameshift_length_anomaly" } } ] ```
Research transcript analysis only; no clinical diagnostic determinations or genetic counseling advice. Use mock external writes. Require human review before any real deployment.
Participation guide
Research transcript analysis only; no clinical diagnostic determinations or genetic counseling advice. Use mock external writes and human review.
How work is evaluated
Translates CDS sequences into peptide strings using Biopython Bio.Seq module. Detects non-triplet CDS lengths and flags them with explicit frameshift indicators. Exports valid FHIR R5 Observation resources containing codon length and frame evaluation.
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
Ingest CDS FASTA files downloaded via NCBI Datasets command-line utility. Translate coding nucleotide sequences using Biopython standard genetic code translation tables. Check for expected start codons, absence of internal stops, and exact nucleotide triplet multiples. Format verification summaries into FHIR Molecular Observation entries with flagged discrepancy codes.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Translates CDS sequences into peptide strings using Biopython Bio.Seq module. Detects non-triplet CDS lengths and flags them with explicit frameshift indicators. Exports valid FHIR R5 Observation resources containing codon length and frame evaluation.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Terminal command-line utility with side-by-side terminal rendering of nucleotide triplets and amino acids.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Research transcript analysis only; no clinical diagnostic determinations or genetic counseling advice.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Ingest CDS FASTA files downloaded via NCBI Datasets command-line utility.
Translate coding nucleotide sequences using Biopython standard genetic code translation tables.
Check for expected start codons, absence of internal stops, and exact nucleotide triplet multiples.
Format verification summaries into FHIR Molecular Observation entries with flagged discrepancy codes.
Reference links and supporting material
Download human transcript packages for gene IDs 1, 2, and 3 using NCBI Datasets sandbox mocks. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Ollama
Local LLM runtime for offline inference.
Evaluated output
No output checks are configured.
- Ingest CDS FASTA files downloaded via NCBI Datasets command-line utility. Translate coding nucleotide seque...
- Translates CDS sequences into peptide strings using Biopython Bio.Seq module. Detects non-triplet CDS lengt...
- Terminal command-line utility with side-by-side terminal rendering of nucleotide triplets and amino acids.
- 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
- Ollama · 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.