Skip to content

Latest commit

 

History

421 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

wave-crispr-signal

Focused CRISPR signal-analysis toolkit for guide scoring and disruption analysis.

Active Runtime Surfaces

  • wave_crispr_signal/ (core sequence, spectral, and stats utilities)
  • applications/phase_weighted_scorecard_cli.py
  • applications/crispr_cli.py
  • applications/genomic_disruption_api.py
  • web_apps/demo_mvp/app.py

Quick Start

python3 -m pip install -r requirements.txt

python3 applications/phase_weighted_scorecard_cli.py --help
python3 applications/crispr_cli.py --help
python3 applications/genomic_disruption_api.py --help

Current CLI truth for applications/genomic_disruption_api.py:

  • score is implemented.
  • design is implemented.
  • batch and offtarget are parser options, but CLI execution returns Command <name> not yet implemented in CLI.

Validation Model

  • Validation is change-scoped.
  • For behavior changes, default expectation is:
    • one targeted automated test, and
    • one manual verification command with observed outcome.

Validation Milestone (Gate v3)

  • External comparator gate is active under validation/ontarget_gate/.
  • Gate v3 uses two manifest lanes:
    • decision-grade clean manifest (authoritative),
    • raw exploratory manifest (non-authoritative).
  • Current authoritative Gate v3 outcome on clean holdouts: NO-GO against baseline_c_crisprpred.
  • Current model thesis status: closed (NO-GO) for incremental continuation.
  • See:
    • validation/ontarget_gate/README.md
    • validation/ontarget_gate/PROTOCOL_V3.md
    • validation/ontarget_gate/BOARD_FUNDING_ADDENDUM.md
    • validation/ontarget_gate/CLOSEOUT_NO_GO.md
    • validation/ontarget_gate/outputs/gate_report_v3.md

Canonical Docs

  • docs/INDEX.md
  • docs/CURRENT_STATE_AND_DOC_GAPS.md
  • docs/CONTRIBUTING.md
  • docs/PRIMARY_CLI_VALIDATION.md
  • docs/PHASE_WEIGHTED_SCORECARD.md
  • docs/MODEL_NOVELTY_STATEMENT.md

License

MIT

About

A computational biology tool that applies Fourier-based signal processing to DNA sequences to quantify the disruption caused by single-nucleotide mutations. Generates spectral features for use in mutation analysis, CRISPR targeting, and machine learning models.

Resources

Contributing

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages