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Challenge

Build a Research Molecular Assay Quality Indexer and Haystack Search Engine

Aggregate sequencing quality scores and coverage metrics from FASTA batches. Index quality metrics into Haystack document stores to assist observational study cohort selection.

Data ScienceHosted by Vera
Challenge brief

What you are building

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

Aggregate sequencing quality scores and coverage metrics from FASTA batches. Index quality metrics into Haystack document stores to assist observational study cohort selection.

Genomics Core Facility Manager

Parse multi-sample FASTA archives to compute sequence length distributions and GC content percentages.

Aggregate run-level quality control indicators across research specimen batches.

Index structured assay quality documents into a Haystack in-memory or OpenSearch document store.

Query assay cohorts using conversational parameters and export filtered FHIR DiagnosticReport bundles.

React web application with cohort filter sliders, interactive GC-content histograms, and search query box.

Construct mock high-throughput sequencing run archives containing synthetic FASTA files with varied lengths and base distributions. Starter examples below are synthetic. They are not downloaded records.

Biopython Uses Biopython SeqIO to parse multi-record FASTA files and compute sequence composition properties.

haystack, biopython, pydantic. Haystack coordinates document store indexing, hybrid metadata filtering, and semantic query pipelines. Local or hosted LLM to interpret complex natural language criteria for research cohort retrieval.

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 GC content and sequence length metrics for all FASTA entries using Biopython.

Populates Haystack Document Store with metadata attributes for rapid cohort filtering.

Returns valid search results matching specified GC content and quality threshold filters.

```json [ { "input": { "batch_id": "RUN_001", "fasta_content": ">seq1\nATGCGATCGA\n>seq2\nGCGCGCGCGC\n" }, "expected_output": { "total_sequences": 2, "mean_gc_content": 0.75, "indexed": true, "eligible_for_high_gc_cohort": true } }, { "input": { "batch_id": "RUN_002", "fasta_content": ">seq_empty\n\n" }, "expected_output": { "total_sequences": 0, "mean_gc_content": 0, "indexed": false, "error": "Empty FASTA records detected in batch RUN_002" } } ] ```

Research assay quality metrics only; contains no protected patient identifiers or clinical diagnoses. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Research assay quality metrics only; contains no protected patient identifiers or clinical diagnoses. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Calculates GC content and sequence length metrics for all FASTA entries using Biopython. Populates Haystack Document Store with metadata attributes for rapid cohort filtering. Returns valid search results matching specified GC content and quality threshold filters.

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

Parse multi-sample FASTA archives to compute sequence length distributions and GC content percentages. Aggregate run-level quality control indicators across research specimen batches. Index structured assay quality documents into a Haystack in-memory or OpenSearch document store. Query assay cohorts using conversational parameters and export filtered FHIR DiagnosticReport bundles.

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 GC content and sequence length metrics for all FASTA entries using Biopython. Populates Haystack Document Store with metadata attributes for rapid cohort filtering. Returns valid search results matching specified GC content and quality threshold filters.

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

React web application with cohort filter sliders, interactive GC-content histograms, and search query box.

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 assay quality metrics only; contains no protected patient identifiers or clinical diagnoses.

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

  • Parse multi-sample FASTA archives to compute sequence length distributions and GC content percentages.

  • Aggregate run-level quality control indicators across research specimen batches.

  • Index structured assay quality documents into a Haystack in-memory or OpenSearch document store.

  • Query assay cohorts using conversational parameters and export filtered FHIR DiagnosticReport bundles.

Resources and assets

Reference links and supporting material

Dataset notes

Construct mock high-throughput sequencing run archives containing synthetic FASTA files with varied lengths and base distributions. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Haystack

Framework

Evaluated output

No output checks are configured.

Evaluation checks
  • Parse multi-sample FASTA archives to compute sequence length distributions and GC content percentages. Aggr...
  • Calculates GC content and sequence length metrics for all FASTA entries using Biopython. Populates Haystack...
  • React web application with cohort filter sliders, interactive GC-content histograms, and search query box.
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
  • Haystack · 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 Research Molecular Assay Quality Indexer and Haystack Search Engine