Skip to main content
Challenge

Build a Gene Transcript Splice Variant Reconciliation Dashboard

Parse multi-transcript FASTA and metadata packages from NCBI Datasets to detect exon truncation anomalies. Generate structured FHIR Molecular Observation resources linked to ResearchStudy identifiers for curator sign-off.

Data ScienceHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Parse multi-transcript FASTA and metadata packages from NCBI Datasets to detect exon truncation anomalies. Generate structured FHIR Molecular Observation resources linked to ResearchStudy identifiers for curator sign-off.

Bioinformatics Data Curator

Ingest zip-compressed gene packages containing RNA transcripts and RefSeq metadata reports.

Execute Biopython sequence validation to calculate sequence lengths and identify terminal codon bounds.

Map validated transcript properties into FHIR Observation and Molecular DiagnosticReport schema structures.

Surface discrepancies in a reconciliation dashboard for human biocuration approval.

Web dashboard with transcript length distribution plots, sequence mismatch highlight tables, and FHIR export preview panes.

Download open NCBI Datasets gene package for human BRCA1 (Gene ID 672) using CLI sandbox mock fixtures. Starter examples below are synthetic. They are not downloaded records.

NCBI Datasets gene download Uses the NCBI Datasets gene data package archive layout containing transcript RNA fasta and gene metadata json reports.

anthropic-claude, biopython, fastapi. anthropic-claude structures non-deterministic annotation discrepancies into compliant FHIR Molecular Observation JSON payloads. Hosted Claude API for contextual biological summary synthesis and schema mapping; Biopython running locally for sequence processing.

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.

Parse transcript fasta headers and calculate sequence length for 100% of input records.

Construct valid FHIR DiagnosticReport JSON containing observation member references.

Flag transcript sequences with non-canonical termination codons into a review queue.

```json [ { "input": { "gene_id": "672", "symbol": "BRCA1", "transcripts": [ { "accession": "NM_007294.4", "length_bp": 7088, "terminal_codon": "TAA" } ] }, "expected_output": { "resourceType": "Observation", "status": "final", "code": { "text": "Transcript Length Verification" }, "valueQuantity": { "value": 7088, "unit": "bp" }, "curation_status": "approved" } }, { "input": { "gene_id": "672", "symbol": "BRCA1", "transcripts": [ { "accession": "NM_007294.4_trunc", "length_bp": 120, "terminal_codon": "CCA" } ] }, "expected_output": { "resourceType": "Observation", "status": "preliminary", "code": { "text": "Transcript Length Verification" }, "valueQuantity": { "value": 120, "unit": "bp" }, "curation_status": "flagged_non_canonical_termination" } } ] ```

Research-only benchmarking pipeline using public synthetic identifiers; excludes patient clinical health information and diagnostic claims. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Research-only benchmarking pipeline using public synthetic identifiers; excludes patient clinical health information and diagnostic claims. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Parse transcript fasta headers and calculate sequence length for 100% of input records. Construct valid FHIR DiagnosticReport JSON containing observation member references. Flag transcript sequences with non-canonical termination codons into a review queue.

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

Ingest zip-compressed gene packages containing RNA transcripts and RefSeq metadata reports. Execute Biopython sequence validation to calculate sequence lengths and identify terminal codon bounds. Map validated transcript properties into FHIR Observation and Molecular DiagnosticReport schema structures. Surface discrepancies in a reconciliation dashboard for human biocuration approval.

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

Parse transcript fasta headers and calculate sequence length for 100% of input records. Construct valid FHIR DiagnosticReport JSON containing observation member references. Flag transcript sequences with non-canonical termination codons into a review queue.

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

Web dashboard with transcript length distribution plots, sequence mismatch highlight tables, and FHIR export preview panes.

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

Research-only benchmarking pipeline using public synthetic identifiers; excludes patient clinical health information and diagnostic claims.

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

  • Ingest zip-compressed gene packages containing RNA transcripts and RefSeq metadata reports.

  • Execute Biopython sequence validation to calculate sequence lengths and identify terminal codon bounds.

  • Map validated transcript properties into FHIR Observation and Molecular DiagnosticReport schema structures.

  • Surface discrepancies in a reconciliation dashboard for human biocuration approval.

Resources and assets

Reference links and supporting material

Dataset notes

Download open NCBI Datasets gene package for human BRCA1 (Gene ID 672) using CLI sandbox mock fixtures. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Anthropic Claude

LLM for code generation & more

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest zip-compressed gene packages containing RNA transcripts and RefSeq metadata reports. Execute Biopyth...
  • Parse transcript fasta headers and calculate sequence length for 100% of input records. Construct valid FHI...
  • Web dashboard with transcript length distribution plots, sequence mismatch highlight tables, and FHIR expor...
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
  • Anthropic Claude · 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 Gene Transcript Splice Variant Reconciliation Dashboard