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fastx-barber-0.1.5


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توضیحات

FASTX trimming tools
ویژگی مقدار
سیستم عامل -
نام فایل fastx-barber-0.1.5
نام fastx-barber
نسخه کتابخانه 0.1.5
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Gabriele Girelli
ایمیل نویسنده gigi.ga90@gmail.com
آدرس صفحه اصلی https://github.com/ggirelli/fastx-barber
آدرس اینترنتی https://pypi.org/project/fastx-barber/
مجوز MIT
# fastx-barber [![DOI](https://zenodo.org/badge/281703558.svg)](https://zenodo.org/badge/latestdoi/281703558) ![Release ID](https://img.shields.io/github/release/ggirelli/fastx-barber.svg?style=flat) ![Release date](https://img.shields.io/github/release-date/ggirelli/fastx-barber.svg?style=flat) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/fastx-barber) ![PyPI - Status](https://img.shields.io/pypi/status/fastx-barber) ![GitHub Actions Python package status](https://github.com/ggirelli/fastx-barber/workflows/Python%20package/badge.svg?branch=main&event=push) ![license](https://img.shields.io/github/license/ggirelli/fastx-barber.svg?style=flat) ![Code size](https://img.shields.io/github/languages/code-size/ggirelli/fastx-barber.svg?style=flat) ![Watch no.](https://img.shields.io/github/watchers/ggirelli/fastx-barber.svg?label=Watch&style=social) ![Stars no.](https://img.shields.io/github/stars/ggirelli/fastx-barber.svg?style=social) [PyPi](https://pypi.org/project/fastx-barber/) | [docs](https://ggirelli.github.io/fastx-barber/) A Python3.8+ package to trim and extract flags from FASTA and FASTQ files. ## Features (in short) * Works on both FASTA and FASTQ files. * Selects reads based on a pattern (regex). * Trims reads by pattern (regex), length, or single-base quality. * Extracts parts (flags) of reads based on a pattern and stores them in the read headers. * [Generates BED file with the locations of a substring](https://ggirelli.github.io/fastx-barber/usage#find-sequence) in FASTX records. * Regular expression support [*fuzzy* matching](https://pypi.org/project/regex/#approximate-fuzzy-matching-hg-issue-12-hg-issue-41-hg-issue-109) (*fuzzy matching* might affect the barber's speed). * Parallelizes processing by splitting the fastx file in chunks. For more available features, check out our [docs](https://ggirelli.github.io/fastx-barber/)! ## Requirements `fastx-barber` has been tested with Python 3.8 and 3.9. We recommend installing it using `pipx` (see [below](https://github.com/ggirelli/fastx-barber#install)) to avoid dependency conflicts with other packages. The packages it depends on are listed in our [dependency graph](https://github.com/ggirelli/fastx-barber/network/dependencies). We use [`poetry`](https://github.com/python-poetry/poetry) to handle our dependencies. ## Install We recommend installing `fastx-barber` using [`pipx`](https://github.com/pipxproject/pipx). Check how to install `pipx` [here](https://github.com/pipxproject/pipx#install-pipx) if you don't have it yet! Once you have `pipx` ready on your system, install the latest stable release of `fastx-barber` by running: `pipx install fastx-barber`. If you see the stars (✨ 🌟 ✨), then the installation went well! ## Usage Run: * `fbarber` to access the barber's services. * `fbarber find_seq` to extract the locations of a sequence (e.g., restriction site) in FASTX records. * `fbarber flag` to extract or manipulate read flags. * `fbarber match` to select reads based on a pattern (regular expression). * `fbarber trim` to trim your reads. Add `-h` to see the full help page of a command! ## Contributing We welcome any contributions to `fastx-barber`. In short, we use [`black`](https://github.com/psf/black) to standardize code format. Any code change also needs to pass `mypy` checks. For more details, please refer to our [contribution guidelines](https://github.com/ggirelli/fastx-barber/blob/main/CONTRIBUTING.md) if this is your first time contributing! Also, check out our [code of conduct](https://github.com/ggirelli/fastx-barber/blob/main/CODE_OF_CONDUCT.md). ## License `MIT License - Copyright (c) 2020-21 Gabriele Girelli`


نیازمندی

مقدار نام
>=1.77,<2.0 biopython
>=0.16,<1.1 joblib
>=1.19.1,<2.0.0 numpy
>=1.1.2,<2.0.0 pandas
>=6.1.1,<7.0.0 pytest
>=2020.7.14,<2022.0.0 regex
>=9,<11 rich
>=4.48.1,<5.0.0 tqdm


زبان مورد نیاز

مقدار نام
>=3.8,<4.0 Python


نحوه نصب


نصب پکیج whl fastx-barber-0.1.5:

    pip install fastx-barber-0.1.5.whl


نصب پکیج tar.gz fastx-barber-0.1.5:

    pip install fastx-barber-0.1.5.tar.gz