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Challenge

Build a RefSeq Homology Alignment and FHIR Molecular Evidence Indexer

Align homologous transcript sequences retrieved from NCBI Datasets using Biopython pairwise routines. Generate FHIR R5 Molecular Observation entities capturing sequence divergence metrics.

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Challenge brief

What you are building

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

Align homologous transcript sequences retrieved from NCBI Datasets using Biopython pairwise routines. Generate FHIR R5 Molecular Observation entities capturing sequence divergence metrics.

Comparative Genomics Researcher

Ingest FASTA files for homologous eukaryotic gene packages fetched via NCBI Datasets taxonomy flags.

Execute pairwise sequence alignments across homologs using Biopython alignment classes.

Calculate sequence identity percentages, insertion count, and deletion gaps across CDS regions.

Export divergence summaries as FHIR Observation resources linked to ResearchStudy identifiers.

Web workspace with sequence comparison matrix viewer and FHIR bundle inspection drawer.

Download ACRV1 gene sequences across human and murine taxa via NCBI Datasets command mock directory. Starter examples below are synthetic. They are not downloaded records.

NCBI Datasets gene download Leverages NCBI Datasets taxon flag '--taxon human' and multi-accession download conventions for homologous gene extraction.

dspy, biopython, qdrant. Optimizes prompt pipelines that convert complex alignment matrices into plain-language molecular divergence summaries. Fast remote instruction-tuned language model with 16k context window for multi-sequence summaries.

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.

Calculates exact pairwise identity percentage over Biopython sequence alignments.

Structures divergence scores into compliant FHIR Molecular Observation code-value pairs.

Detects frameshift indels and marks affected sequence records with distinct warning flags.

```json [ { "input": { "query_gene": "ACRV1", "query_seq": "ATGAAACTCCTTCTCCTGGCTTCAGTGTTGTTTTCATTGGTGTTCACCCAAGAATCT", "target_seq": "ATGAAACTCCTTCTCCTGGCTTCAGTGTTGTTTTCATTGGTGTTCACCCAAGAATCT" }, "expected_output": { "alignment_score": 57, "percent_identity": 100, "gap_count": 0, "frameshift_detected": false, "fhir_observation_code": "sequence-homology" } }, { "input": { "query_gene": "ACRV1", "query_seq": "ATGAAACTCCTTCTCCTGGCTTCAGTGTTGTTTTCATTGGTGTTCACCCAAGAATCT", "target_seq": "ATGAAACTCCTTCTCCTGGCTTC---TTGTTTTCATTGGTGTTCACCCAAGAATCT" }, "expected_output": { "alignment_score": 51, "percent_identity": 94.74, "gap_count": 3, "frameshift_detected": true, "fhir_observation_code": "sequence-homology" } } ] ```

Operates strictly on de-identified public reference genomes; not used for diagnostic variant interpretation. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Operates strictly on de-identified public reference genomes; not used for diagnostic variant interpretation. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Calculates exact pairwise identity percentage over Biopython sequence alignments. Structures divergence scores into compliant FHIR Molecular Observation code-value pairs. Detects frameshift indels and marks affected sequence records with distinct warning flags.

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 FASTA files for homologous eukaryotic gene packages fetched via NCBI Datasets taxonomy flags. Execute pairwise sequence alignments across homologs using Biopython alignment classes. Calculate sequence identity percentages, insertion count, and deletion gaps across CDS regions. Export divergence summaries as FHIR Observation resources linked to ResearchStudy identifiers.

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

Calculates exact pairwise identity percentage over Biopython sequence alignments. Structures divergence scores into compliant FHIR Molecular Observation code-value pairs. Detects frameshift indels and marks affected sequence records with distinct warning flags.

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 workspace with sequence comparison matrix viewer and FHIR bundle inspection drawer.

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

Operates strictly on de-identified public reference genomes; not used for diagnostic variant interpretation.

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 FASTA files for homologous eukaryotic gene packages fetched via NCBI Datasets taxonomy flags.

  • Execute pairwise sequence alignments across homologs using Biopython alignment classes.

  • Calculate sequence identity percentages, insertion count, and deletion gaps across CDS regions.

  • Export divergence summaries as FHIR Observation resources linked to ResearchStudy identifiers.

Resources and assets

Reference links and supporting material

Dataset notes

Download ACRV1 gene sequences across human and murine taxa via NCBI Datasets command mock directory. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

DSPy

Prompt and LM program optimization framework.

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest FASTA files for homologous eukaryotic gene packages fetched via NCBI Datasets taxonomy flags. Execut...
  • Calculates exact pairwise identity percentage over Biopython sequence alignments. Structures divergence sco...
  • Web workspace with sequence comparison matrix viewer and FHIR bundle inspection drawer.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 3 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
  • DSPy · Optional
Training Infra
  • DSPy · Optional
Orchestration
  • DSPy · 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 RefSeq Homology Alignment and FHIR Molecular Evidence Indexer