![CI](https://github.com/onecodex/needletail/workflows/CI/badge.svg) [![crates.io](https://img.shields.io/crates/v/needletail.svg)](https://crates.io/crates/needletail) # Needletail Needletail is a MIT-licensed, minimal-copying FASTA/FASTQ parser and _k_-mer processing library for Rust. The goal is to write a fast *and* well-tested set of functions that more specialized bioinformatics programs can use. Needletail's goal is to be as fast as the [readfq](https://github.com/lh3/readfq) C library at parsing FASTX files and much (i.e. 25 times) faster than equivalent Python implementations at _k_-mer counting. ## Example ```rust extern crate needletail; use needletail::{parse_fastx_file, Sequence, FastxReader}; fn main() { let filename = "tests/data/28S.fasta"; let mut n_bases = 0; let mut n_valid_kmers = 0; let mut reader = parse_fastx_file(&filename).expect("valid path/file"); while let Some(record) = reader.next() { let seqrec = record.expect("invalid record"); // keep track of the total number of bases n_bases += seqrec.num_bases(); // normalize to make sure all the bases are consistently capitalized and // that we remove the newlines since this is FASTA let norm_seq = seqrec.normalize(false); // we make a reverse complemented copy of the sequence first for // `canonical_kmers` to draw the complemented sequences from. let rc = norm_seq.reverse_complement(); // now we keep track of the number of AAAAs (or TTTTs via // canonicalization) in the file; note we also get the position (i.0; // in the event there were `N`-containing kmers that were skipped) // and whether the sequence was complemented (i.2) in addition to // the canonical kmer (i.1) for (_, kmer, _) in norm_seq.canonical_kmers(4, &rc) { if kmer == b"AAAA" { n_valid_kmers += 1; } } } println!("There are {} bases in your file.", n_bases); println!("There are {} AAAAs in your file.", n_valid_kmers); } ``` ## Installation Needletail requires `rust` and `cargo` to be installed. Please use either your local package manager (`homebrew`, `apt-get`, `pacman`, etc) or install these via [rustup](https://www.rustup.rs/). Once you have Rust set up, you can include needletail in your `Cargo.toml` file like: ```shell [dependencies] needletail = "0.6.0" ``` To install needletail itself for development: ```shell git clone https://github.com/onecodex/needletail cargo test # to run tests ``` ### Python #### Documentation For a real example, you can refer to `test_python.py`. The python library only raise one type of exception: `NeedletailError`. There are 2 ways to parse a FASTA/FASTQ: one if you have a string (`parse_fastx_string(content: str)`) or a path to a file (`parse_fastx_file(path: str)`). Those functions will raise if the file is not found or if the content is invalid and will return an iterator. ```python from needletail import parse_fastx_file, NeedletailError, reverse_complement, normalize_seq try: for record in parse_fastx_file("myfile.fastq"): print(record.id) print(record.seq) print(record.qual) except NeedletailError: print("Invalid Fastq file") ``` A record has the following shape: ```python class Record: id: str seq: str qual: Optional[str] def is_fasta(self) -> bool def is_fastq(self) -> bool def normalize(self, iupac: bool) ``` Note that `normalize` (see for what it does) will mutate `self.seq`. It is also available as the `normalize_seq(seq: str, iupac: bool)` function which will return the normalized sequence in this case. Lastly, there is also a `reverse_complement(seq: str)` that will do exactly what it says. This will not raise an error if you pass some invalid characters. #### Building To work on the Python library on a Mac OS X/Unix system (requires Python 3): ```bash pip install maturin # finally, install the library in the local virtualenv maturin develop --cargo-extra-args="--features=python" ``` To build the binary wheels and push to PyPI ``` # The Mac build requires switching through a few different python versions maturin build --features python --release --strip # The linux build is automated through cross-compiling in a docker image docker run --rm -v $(pwd):/io ghcr.io/pyo3/maturin:main build --features=python --release --strip -f twine upload target/wheels/* ``` ## Releasing A New Version There is a Github Workflow that will build Python wheels for macOS (x86 and ARM) and Ubuntu (x86). To run, create a new release. ## Getting Help Questions are best directed as GitHub issues. We plan to add more documentation soon, but in the meantime "doc" comments are included in the source. ## Contributing Please do! We're happy to discuss possible additions and/or accept pull requests. ## Acknowledgements Starting from 0.4, the parsers algorithms is taken from [seq_io](https://github.com/markschl/seq_io). While it has been slightly modified, it is mainly coming from that library. Links to the original files are available in `src/parser/fast{a,q}.rs`.