Build a Biopython Multiple Sequence Alignment Quality Scorer with Qdrant
Align homologous gene transcripts downloaded from public repositories and calculate pairwise distance matrices. Vectorize alignment features into Qdrant to detect anomalous outlier sequences.
What you are building
The core problem, expected build, and operating context for this challenge.
Align homologous gene transcripts downloaded from public repositories and calculate pairwise distance matrices. Vectorize alignment features into Qdrant to detect anomalous outlier sequences.
Computational Biologist
Load homologous FASTA transcripts using Biopython SeqIO.
Compute gap frequencies and positional identity matrices across sequence collections.
Vectorize alignment summary profiles and index them in a local Qdrant collection.
Identify distance outliers and output quality warnings for human curator verification.
Streamlit app with interactive distance plots and outlier inspection tables.
Use Biopython test suite FASTA samples and public viral or eukaryotic homologous transcript sets. Starter examples below are synthetic. They are not downloaded records.
Biopython Employs Biopython's sequence analysis data structures to parse FASTA alignments and compute residue statistics.
qdrant, biopython, streamlit. Qdrant provides low-latency vector similarity search to cluster alignment score vectors and find outliers. Small local embedding model or tabular feature projector for alignment metric indexing.
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.
Parses multi-sequence FASTA files accurately using Biopython.
Calculates positional identity and indexes metric vectors into Qdrant.
Flags sequences with high gap penalties or divergent residue scores.
```json [ { "input": { "alignment_id": "ALN-101", "sequences": [ ">seqA\nATGCGATCG", ">seqB\nATGCGATCG", ">seqC\nATGCGATCA" ] }, "expected_output": { "alignment_id": "ALN-101", "consensus_identity": 0.963, "outliers_detected": 0, "status": "CONCORDANT" } }, { "input": { "alignment_id": "ALN-102", "sequences": [ ">seqA\nATGCGATCG", ">seqB\nNNNNGATCG", ">seqC\nATGCGATCG" ] }, "expected_output": { "alignment_id": "ALN-102", "consensus_identity": 0.667, "outliers_detected": 1, "status": "DISCORDANT_ALERT" } } ] ```
Standard sequence quality profiling tool operating exclusively on open synthetic or public FASTA data. Use mock external writes. Require human review before any real deployment.
Participation guide
Standard sequence quality profiling tool operating exclusively on open synthetic or public FASTA data. Use mock external writes and human review.
How work is evaluated
Parses multi-sequence FASTA files accurately using Biopython. Calculates positional identity and indexes metric vectors into Qdrant. Flags sequences with high gap penalties or divergent residue scores.
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
Load homologous FASTA transcripts using Biopython SeqIO. Compute gap frequencies and positional identity matrices across sequence collections. Vectorize alignment summary profiles and index them in a local Qdrant collection. Identify distance outliers and output quality warnings for human curator verification.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Parses multi-sequence FASTA files accurately using Biopython. Calculates positional identity and indexes metric vectors into Qdrant. Flags sequences with high gap penalties or divergent residue scores.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Streamlit app with interactive distance plots and outlier inspection tables.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Standard sequence quality profiling tool operating exclusively on open synthetic or public FASTA data.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Load homologous FASTA transcripts using Biopython SeqIO.
Compute gap frequencies and positional identity matrices across sequence collections.
Vectorize alignment summary profiles and index them in a local Qdrant collection.
Identify distance outliers and output quality warnings for human curator verification.
Reference links and supporting material
Use Biopython test suite FASTA samples and public viral or eukaryotic homologous transcript sets. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Qdrant
Open-source vector database.
Evaluated output
No output checks are configured.
- Load homologous FASTA transcripts using Biopython SeqIO. Compute gap frequencies and positional identity ma...
- Parses multi-sequence FASTA files accurately using Biopython. Calculates positional identity and indexes me...
- Streamlit app with interactive distance plots and outlier inspection tables.
- 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
- Qdrant · Optional
- Qdrant · 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.