/nanopore-sv-evaluation

Repository for the paper "Evaluating nanopore sequencing data processing pipelines for structure variation identification"

Primary LanguageShellMIT LicenseMIT

DOI

nanopore-sv-evaluation

This is the code repository for the paper "Evaluating nanopore sequencing data processing pipelines for structure variation identification".

  • scripts/download.sh: code for downloading the online data

  • scripts/simulation.sh: code for genreating simulation datasets

  • scripts/workflow.sh: code for running the aligners and SV callers

  • scripts/integration.sh: code for consensus call set generation

  • scripts/comparison.md: code for call set and true set comparisons

  • scripts/coverage.sh: code for subsetting the reads and coverages analysis

  • scripts/ML/gen_label.sh: code for generating labels for the random forest classifier

  • scripts/ML/random_forest.py: code for the random forest classifier training, predicting, and evaluating