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Challenge

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.

Data ScienceHosted by Vera
Challenge brief

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.

Rules

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.

Delivery guide

How work is evaluated

Evaluation

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.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

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.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

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.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Console terminal CLI with an optional single-page HTML report summarizing reading frame errors and codon metrics.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Focuses strictly on reading frame arithmetic and codon parsing on synthetic/mock sequences. No patient clinical impact.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

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.

Resources and assets

Reference links and supporting material

Dataset notes

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.

Evaluation checks
  • 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...
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 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

Action Space
  • 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

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Transcript CDS Boundary and Reading Frame Validator