bindash

Crates.iobindash
lib.rsbindash
version0.1.2
created_at2025-01-17 02:17:23.49634+00
updated_at2025-02-12 04:57:15.231498+00
descriptionOne Permutation Hashing, Optimal Densification, Genomics
homepage
repository
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id1520201
size79,312
Jianshu_Zhao (jianshu93)

documentation

README

Latest Version

BinDash: Binwise Densified Minhash

One Permutation MinHash with Optimal/Faster Densification in Rust

Install

Install via bioconda

conda install -c bioconda -c conda-forge bindash-rs

Install via cargo

### Install from cargo, install Rustup first here: https://rustup.rs, cargo will be installed by default
cargo install bindash

Compile from source

git clone https://github.com/jianshu93/bindash-rs
cd bindash-rs
cargo build --release
./target/release/bindash -h

Usage


 ************** initializing logger *****************

Binwise Densifed MinHash for Genome/Metagenome/Pangenome Comparisons

Usage: bindash [OPTIONS] --query_list <QUERY_LIST_FILE> --reference_list <REFERENCE_LIST_FILE>

Options:
  -q, --query_list <QUERY_LIST_FILE>
          Query genome list file (one FASTA/FNA file path per line, .gz supported)
  -r, --reference_list <REFERENCE_LIST_FILE>
          Reference genome list file (one FASTA/FNA file path per line, .gz supported)
  -k, --kmer_size <KMER_SIZE>
          K-mer size [default: 16]
  -s, --sketch_size <SKETCH_SIZE>
          MinHash sketch size [default: 2048]
  -d, --densification <DENS_OPT>
          Densification strategy, 0 for optimal densification, 1 for reverse optimal/faster densification [default: 0]
  -t, --threads <THREADS>
          Number of threads to use in parallel [default: 1]
  -o, --output <OUTPUT_FILE>
          Output file (defaults to stdout)
  -h, --help
          Print help
  -V, --version
          Print version

References

1.Li, P., Owen, A. and Zhang, C.H., 2012. One permutation hashing. Advances in Neural Information Processing Systems, 25.

2.Shrivastava, A., 2017, July. Optimal densification for fast and accurate minwise hashing. In International Conference on Machine Learning (pp. 3154-3163). PMLR.

3.Mai, T., Rao, A., Kapilevich, M., Rossi, R., Abbasi-Yadkori, Y. and Sinha, R., 2020, August. On densification for minwise hashing. In Uncertainty in Artificial Intelligence (pp. 831-840). PMLR.

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cargo fmt