Build an Automated Biopython FASTA Cleanser and Langfuse Telemetry Monitor
Process multi-fasta uploads to detect contaminated reads, low complexity regions, and non-IUPAC bases. Track preprocessing latency and data drift using Langfuse operational telemetry.
What you are building
The core problem, expected build, and operating context for this challenge.
Process multi-fasta uploads to detect contaminated reads, low complexity regions, and non-IUPAC bases. Track preprocessing latency and data drift using Langfuse operational telemetry.
Bioinformatics Pipeline Engineer
Stream FASTA records through Biopython SeqIO sequence parser.
Validate nucleotide characters against IUPAC standards and strip terminal adapter contamination.
Record pipeline latency, input sizes, and rejection rates into Langfuse traces.
Save sanitized sequences into an archive ready for downstream research pipelines.
Dashboard displaying processing metrics, invalid sequence alerts, and export options.
Generate synthetic multi-FASTA files with injected IUPAC anomalies, adapter dimers, and valid nucleotides. Starter examples below are synthetic. They are not downloaded records.
Biopython Uses Biopython's sequence parsing and alphabet validation facilities to inspect nucleotide strings.
langfuse, biopython, fastapi. Langfuse enables detailed operational trace tracking, error monitoring, and step-level latency visualization. Lightweight model for generating human-readable sequence error categorization prompts.
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.
Accurately flags non-standard IUPAC characters in raw sequences.
Emits traces to Langfuse containing token count, character counts, and step latencies.
Provides clean sanitized FASTA outputs for valid records.
```json [ { "input": { "batch_id": "BATCH-01", "records": [ { "id": "read1", "seq": "ATCGGCTA" } ] }, "expected_output": { "batch_id": "BATCH-01", "passed_records": 1, "failed_records": 0, "langfuse_trace_logged": true } }, { "input": { "batch_id": "BATCH-02", "records": [ { "id": "read2", "seq": "ATC123Z$$" } ] }, "expected_output": { "batch_id": "BATCH-02", "passed_records": 0, "failed_records": 1, "error_reasons": [ "Invalid non-IUPAC characters" ], "langfuse_trace_logged": true } } ] ```
Standard pre-processing tool for FASTA files; completely devoid of protected health information. Use mock external writes. Require human review before any real deployment.
Participation guide
Standard pre-processing tool for FASTA files; completely devoid of protected health information. Use mock external writes and human review.
How work is evaluated
Accurately flags non-standard IUPAC characters in raw sequences. Emits traces to Langfuse containing token count, character counts, and step latencies. Provides clean sanitized FASTA outputs for valid records.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Stream FASTA records through Biopython SeqIO sequence parser. Validate nucleotide characters against IUPAC standards and strip terminal adapter contamination. Record pipeline latency, input sizes, and rejection rates into Langfuse traces. Save sanitized sequences into an archive ready for downstream research pipelines.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Accurately flags non-standard IUPAC characters in raw sequences. Emits traces to Langfuse containing token count, character counts, and step latencies. Provides clean sanitized FASTA outputs for valid records.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Dashboard displaying processing metrics, invalid sequence alerts, and export options.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Standard pre-processing tool for FASTA files; completely devoid of protected health information.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Stream FASTA records through Biopython SeqIO sequence parser.
Validate nucleotide characters against IUPAC standards and strip terminal adapter contamination.
Record pipeline latency, input sizes, and rejection rates into Langfuse traces.
Save sanitized sequences into an archive ready for downstream research pipelines.
Reference links and supporting material
Generate synthetic multi-FASTA files with injected IUPAC anomalies, adapter dimers, and valid nucleotides. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Langfuse
Open-source LLM observability and evals.
Evaluated output
No output checks are configured.
- Stream FASTA records through Biopython SeqIO sequence parser. Validate nucleotide characters against IUPAC...
- Accurately flags non-standard IUPAC characters in raw sequences. Emits traces to Langfuse containing token...
- Dashboard displaying processing metrics, invalid sequence alerts, and export options.
- 2 public reference cases
- 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
- Langfuse · Optional
- Langfuse · 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.