Metadata-Version: 2.1
Name: batch-tar
Version: 0.1
Summary: To tar/compress files/directories in batch mode.
Home-page: https://github.com/linzhi2013/batch_tar
Author: Guanliang Meng
Author-email: linzhi2012@gmail.com
License: UNKNOWN
Description: # extractfq
        
        ## 1 Introduction
        
        `batch-tar` is a tool to extract some fastq reads from the beginning of the files.
        
        ## 2 Installation
        
            pip install extractfq
        
        There will be a command `extractfq` created under the same directory as your `pip` command.
        
        ## 3 Usage
        
            $ extractfq
            usage: extractfq.py [-h] [-fq1 <str>] [-fq2 <str>] [-outfq1 <str>]
                                [-outfq2 <str>] [-size_required <float>] [-rl <int>] [-gz]
                                [-cache_num <int>]
        
            Extract some fastq reads from the beginning of the files. Author: Guanliang
            Meng, see https://github.com/linzhi2013/extractfq. This script is part of the
            package `MitoZ`, when you use the script in your work, please cite: MitoZ: A
            toolkit for mitochondrial genome assembly, annotation and visualization with
            NGS data. Guangliang Meng, Yiyuan Li, Chentao Yang, Shanlin Liu (in
            manuscript)
        
            optional arguments:
              -h, --help            show this help message and exit
              -fq1 <str>            input fastq 1 file
              -fq2 <str>            input fastq 2 file
              -outfq1 <str>         output fastq 1 file
              -outfq2 <str>         output fastq 2 file
              -size_required <float>
                                    size required in Gigabase. [3]
              -rl <int>             read length required. discard the smaller ones, and
                                    cut the longer ones to this length [None]
              -gz                   gzip output. [False]
              -cache_num <int>      the cache number of reads before writing to the file,
                                    to speed up. the larger of cache_num, the more memory
                                    (default is ca. 2G) will be used. [1500000]
        
        ## Author
        Guanliang MENG
        
        ## Citation
        This script is part of the package `MitoZ`, when you use the script in your work, please cite:
        
            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
        
        
        
        
        
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3
Description-Content-Type: text/markdown
