extractfq
1 Introduction
extractfq 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
Metadata
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