helicase 0.1.0

SIMD-accelerated parser for FASTA and FASTQ files
Documentation

Helicase

crates.io docs

Helicase is a carefully optimized FASTA/FASTQ parser that extensively uses vectorized instructions.

It is designed for three main goals: being highly configurable, handling non-ACTG bases and computing bitpacked representations of DNA.

Requirements

This library requires AVX2, SSE3 or NEON instruction sets, make sure to enable target-cpu=native when using it:

RUSTFLAGS="-C target-cpu=native" cargo run --release

Note: if your CPU has a bad support for the PDEP instruction (e.g. AMD CPUs prior to 2020), it is recommended to use the no-pdep feature:

RUSTFLAGS="-C target-cpu=native" cargo run --release -F no-pdep

Usage

Minimal example

use helicase::input::*;
use helicase::*;

// set the options of the parser (at compile-time)
const CONFIG: Config = ParserOptions::default().config();

fn main() {
    let path = "...";

    // create a parser with the desired options
    let mut parser = FastxParser::<CONFIG>::from_file(&path).expect("Cannot open file");

    // iterate over records
    while let Some(_event) = parser.next() {
        // get a reference to the header
        let header = parser.get_header();

        // get a reference to the sequence (without newlines)
        let seq = parser.get_dna_string();

        // ...
    }
}

Adjusting the configuration

The parser is configured at compile-time via ParserOptions. For example, to ignore headers and split non-ACTG bases:

const CONFIG: Config = ParserOptions::default()
    .ignore_headers()
    .split_non_actg()
    .config();

Bitpacked DNA formats

The parser can output a bitpacked representation of the sequence in two different formats:

  • PackedDNA which maps each base to two bits and packs them (compatible with packed-seq using the corresponding feature).
  • ColumnarDNA which separates the high bit and the low bit of each base, and store them in two bitmasks.

Since each base is encoded using two bits, we have to handle non-ACTG bases differently. Three options are available via ParserOptions:

  • split_non_actg splits the sequence at non-ACTG bases, yielding one DnaChunk event per contiguous ACTG run (default for bitpacked formats).
  • skip_non_actg skips non-ACTG bases and merges the remaining chunks, yielding one Record event per record.
  • keep_non_actg keeps the non-ACTG bases and encodes them lossily, yielding one Record event per record (default for string format).

Events

The parser is an iterator that yields Event values. An event signals a record boundary or a contiguous DNA chunk, but the data is always read from the parser itself via get_header, get_dna_string, etc.

There are two kinds of event:

  • Event::Record: emitted once per record, after all of its DNA chunks. Enabled by return_record (on by default).
  • Event::DnaChunk: emitted for each contiguous ACTG run. Enabled by return_dna_chunk (on by default with split_non_actg).

When both are active you need to match on the event to distinguish them:

use helicase::input::*;
use helicase::parser::Event;
use helicase::*;

// dna_packed enables DnaChunk events; and Record events are also kept by default.
const CONFIG: Config = ParserOptions::default().dna_packed().config();

fn main() {
    let path = "...";
    let mut parser = FastxParser::<CONFIG>::from_file(&path).expect("Cannot open file");

    while let Some(event) = parser.next() {
        match event {
            Event::Record(_) => {
                // all chunks of this record have been processed
            }
            Event::DnaChunk(_) => {
                // one contiguous ACTG run is ready
                let seq = parser.get_dna_packed();
            }
        }
    }
}

When only one type of event is active, the event value can be safely ignored:

use helicase::input::*;
use helicase::*;

// Default config: only Record events, one per record.
const CONFIG: Config = ParserOptions::default().config();

fn main() {
    let path = "...";
    let mut parser = FastxParser::<CONFIG>::from_file(&path).expect("Cannot open file");

    while let Some(_) = parser.next() {
        let header = parser.get_header();
        let seq = parser.get_dna_string();
    }
}

It is even possible to disable all events to process the entire file in one go, for instance if you simply want to count bases.

Iterating over chunks of packed DNA

use helicase::input::*;
use helicase::*;

const CONFIG: Config = ParserOptions::default()
    // by default, dna_packed splits non-ACTG bases and stops after each chunk
    .dna_packed()
    // don't stop the iterator at the end of a record
    .return_record(false)
    .config();

fn main() {
    let path = "...";

    let mut parser = FastxParser::<CONFIG>::from_file(&path).expect("Cannot open file");

    // iterate over each chunk of ACTG bases
    while let Some(_event) = parser.next() {
        // headers are still accessible between chunks
        let header = parser.get_header();

        // get a reference to the packed sequence
        let seq = parser.get_dna_packed();

        // or directly get a PackedSeq (requires the packed-seq feature)
        // let packed_seq = parser.get_packed_seq();
    }
}

Crate features

Packed-seq

The PackedDNA format is compatible with packed-seq and can be converted when the packed-seq feature is enabled (disabled by default).

This can be useful for hashing k-mers or computing minimizers & syncmers.

No PDEP

By default, this library uses PDEP to compute the PackedDNA format. However, this instruction can be very slow on some CPUs (especially AMD CPUs prior to 2020). If you want an efficient implementation for these CPUs, we recommend using the no-pdep feature.

Decompression

This library supports transparent file decompression using deko, you can choose the supported formats using the following features:

  • bz2 for bzip2
  • gz for gzip (default)
  • xz for xz
  • zstd for zstd (default)

Benchmarks

Benchmarks against needletail and paraseq are available in the bench directory. You can run them on any (possibly compressed) FASTA/FASTQ file using:

RUSTFLAGS="-C target-cpu=native" cargo r -r --bin bench -- <file>

For instance, you can run it on this human genome, these short reads or these long reads.

Note that the FASTQ files can easily be converted to FASTA using:

RUSTFLAGS="-C target-cpu=native" cargo r -r --example fq_to_fa -- <file.fastq>

More information in the bench README.

Acknowledgements

This project was initially started by Loup Lobet during his internship with Charles Paperman.