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            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
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            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Bio-Informatics"
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        "description": "# extractfq\n\n## 1 Introduction\n\n`extractfq` is a tool to extract some fastq reads from the beginning of the files.\n\n## 2 Installation\n\n    pip install extractfq\n\nThere will be a command `extractfq` created under the same directory as your `pip` command.\n\n## 3 Usage\n\n    $ extractfq\n    usage: extractfq.py [-h] [-fq1 <str>] [-fq2 <str>] [-outfq1 <str>]\n                        [-outfq2 <str>] [-size_required <float>] [-rl <int>] [-gz]\n                        [-cache_num <int>]\n\n    Extract some fastq reads from the beginning of the files. Author: Guanliang\n    Meng, see https://github.com/linzhi2013/extractfq. This script is part of the\n    package `MitoZ`, when you use the script in your work, please cite: MitoZ: A\n    toolkit for mitochondrial genome assembly, annotation and visualization with\n    NGS data. Guangliang Meng, Yiyuan Li, Chentao Yang, Shanlin Liu (in\n    manuscript)\n\n    optional arguments:\n      -h, --help            show this help message and exit\n      -fq1 <str>            input fastq 1 file\n      -fq2 <str>            input fastq 2 file\n      -outfq1 <str>         output fastq 1 file\n      -outfq2 <str>         output fastq 2 file\n      -size_required <float>\n                            size required in Gigabase. [3]\n      -rl <int>             read length required. discard the smaller ones, and\n                            cut the longer ones to this length [None]\n      -gz                   gzip output. [False]\n      -cache_num <int>      the cache number of reads before writing to the file,\n                            to speed up. the larger of cache_num, the more memory\n                            (default is ca. 2G) will be used. [1500000]\n\n## Author\nGuanliang MENG\n\n## Citation\nThis script is part of the package `MitoZ`, when you use the script in your work, please cite:\n\n    Guanliang Meng, Yiyuan Li, Chentao Yang, Shanlin Liu. MitoZ: A toolkit for mitochondrial genome assembly, annotation and visualization; doi: https://doi.org/10.1101/489955",
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