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Challenge

Build a Prokaryotic RefSeq Annotation Verification Assistant

Inspect prokaryotic WP_ accession metadata and FASTA packages from NCBI Datasets. Verify translational completeness and generate FHIR Molecular Observation entries for microbiology research.

Data ScienceHosted by Vera
Challenge brief

What you are building

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

Inspect prokaryotic WP_ accession metadata and FASTA packages from NCBI Datasets. Verify translational completeness and generate FHIR Molecular Observation entries for microbiology research.

Microbial Genomicist

Download prokaryotic gene packages specified by RefSeq WP_ accessions through NCBI Datasets.

Parse prokaryotic protein and gene multi-FASTA files using Biopython Bio.SeqIO module.

Translate genomic coding intervals to check concordant peptide lengths and terminal residues.

Generate FHIR Molecular Observation JSON payloads detailing translation congruence.

Console dashboard displaying accession parsing progress, peptide length delta indicators, and JSON downloads.

Fetch synthetic WP_ bacterial accessions using mock zip payloads simulating NCBI Datasets CLI prokaryotic outputs. Starter examples below are synthetic. They are not downloaded records.

NCBI Datasets gene download Uses NCBI Datasets prokaryotic data package rules specifically handling WP_ accessions containing gene and protein files.

mastra-ai, biopython, fastapi. Provides structured TypeScript and Node agent workflows to orchestrate command execution and schema validation. Standard API endpoint with robust JSON schema formatting capabilities.

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.

Identifies peptide length discrepancies between translated nucleotide sequences and RefSeq protein entries.

Generates valid FHIR Observation resources with code system pointing to RefSeq accessions.

Correctly flags premature termination codons inside prokaryotic CDS sequences.

```json [ { "input": { "accession": "WP_010890123.1", "gene_nt": "ATGAAACGTACTCTGGTATTGTCAGGTGCGATGACCATCGGTACTGGTCTGTAA", "protein_aa": "MKRTLVLSGAMTIGTGL" }, "expected_output": { "status": "congruent", "accession": "WP_010890123.1", "nt_length": 54, "aa_length": 17, "length_match": true, "fhir_code": "WP_010890123.1" } }, { "input": { "accession": "WP_010890999.1", "gene_nt": "ATGAAACGTACTCTGGTATAATCAGGTACTGGTCTGTAA", "protein_aa": "MKRTLVLSGAMTIGTGL" }, "expected_output": { "status": "mismatch", "accession": "WP_010890999.1", "nt_length": 39, "aa_length": 17, "length_match": false, "internal_stop_codon": true, "fhir_code": "WP_010890999.1" } } ] ```

Strictly for research microbiology and public bacterial data curation; excludes clinical pathogen diagnostics. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Strictly for research microbiology and public bacterial data curation; excludes clinical pathogen diagnostics. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Identifies peptide length discrepancies between translated nucleotide sequences and RefSeq protein entries. Generates valid FHIR Observation resources with code system pointing to RefSeq accessions. Correctly flags premature termination codons inside prokaryotic CDS sequences.

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

Download prokaryotic gene packages specified by RefSeq WP_ accessions through NCBI Datasets. Parse prokaryotic protein and gene multi-FASTA files using Biopython Bio.SeqIO module. Translate genomic coding intervals to check concordant peptide lengths and terminal residues. Generate FHIR Molecular Observation JSON payloads detailing translation congruence.

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

Identifies peptide length discrepancies between translated nucleotide sequences and RefSeq protein entries. Generates valid FHIR Observation resources with code system pointing to RefSeq accessions. Correctly flags premature termination codons inside prokaryotic CDS sequences.

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 dashboard displaying accession parsing progress, peptide length delta indicators, and JSON downloads.

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

Strictly for research microbiology and public bacterial data curation; excludes clinical pathogen diagnostics.

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

  • Download prokaryotic gene packages specified by RefSeq WP_ accessions through NCBI Datasets.

  • Parse prokaryotic protein and gene multi-FASTA files using Biopython Bio.SeqIO module.

  • Translate genomic coding intervals to check concordant peptide lengths and terminal residues.

  • Generate FHIR Molecular Observation JSON payloads detailing translation congruence.

Resources and assets

Reference links and supporting material

Dataset notes

Fetch synthetic WP_ bacterial accessions using mock zip payloads simulating NCBI Datasets CLI prokaryotic outputs. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Mastra AI

TypeScript agent framework.

Evaluated output

No output checks are configured.

Evaluation checks
  • Download prokaryotic gene packages specified by RefSeq WP_ accessions through NCBI Datasets. Parse prokaryo...
  • Identifies peptide length discrepancies between translated nucleotide sequences and RefSeq protein entries....
  • Console dashboard displaying accession parsing progress, peptide length delta indicators, and JSON downloads.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 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

Action Space
  • Mastra AI · Optional
Orchestration
  • Mastra 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.

Frequently Asked Questions about Build a Prokaryotic RefSeq Annotation Verification Assistant