Computational biology applications of hash rope data structures
Project description
hashrope-bio
Computational biology applications of hashrope — O(log w) substring hashing for genomic region comparison, mutation localization, tandem repeat compression, MD trajectory indexing, and drug resistance screening.
Install
pip install -e ".[genomics,bench,dev]"
Project structure
src/hashrope_bio/
├── genomics/ # FASTA loading, region queries, mutation search, tandem repeats
├── proteomics/ # MD trajectory frame comparison, periodic detection
└── cheminformatics/ # SMILES/InChI compound lookup, resistance panels
benchmarks/ # Experiment scripts (E-G1 through E-CG1)
scripts/ # Dataset download helpers
data/ # Downloaded datasets (gitignored)
tests/ # Unit tests
Experiments
See ../../experiments/EXPERIMENTS.md for the full protocol.
Run a benchmark:
python benchmarks/bench_region_query.py
Depends on
- hashrope (PyPI) — core data structure
- pysam / biopython — FASTA I/O
- MDAnalysis — trajectory I/O
- RDKit — cheminformatics
License
MIT
Project details
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