#machine-learning #bioinformatics #genomic #data #tokenization #region #set

gtokenizers

A Rust library for tokenizing genomic data with an emphasis on region set data

7 releases

0.0.18 Nov 6, 2023
0.0.17 Oct 19, 2023

#714 in Machine learning

Download history 33/week @ 2024-07-27 4/week @ 2024-09-21

56 downloads per month

MIT license

68KB
469 lines

🧬 gtokenizers


gtokenizers is library for fast and flexible tokenization of genomic data to be used in bioinformatic machine learning models. The purpose of this library is to provide a simple and highly performant interface for tokenizing genomic data in a way that is compatible with modern machine learning workflows.

Installation

Run the following in your terminal:

cargo add gtokenizers

or add the following to your Cargo.toml file:

gtokenizers = "0.0.11"

Quickstart

You can create a tokenizer from a universe (or vocab) file like so:

use gtokenizers::tokenizers::TreeTokenizer;
use gtokenizers::models::region_set::RegionSet;
use std::path::Path;

let vocab_path = Path::new("path/to/vocab.bed");
let t = TreeTokenizer::from(&vocab_path);

let rs = RegionSet::from("path/to/regions.bed");

let tokens = t.tokenize(&rs);

for t in tokens {
    println!("{}, {}", t, t.id);
}

Additional information

This crate is still in early development. We will be adding more features and documentation in the near future. If you have any questions or suggestions, please feel free to open an issue or a pull request.

Dependencies

~210KB