Metadata-Version: 2.1
Name: msaconverter
Version: 0.0.1
Summary: To convert multiple alignment sequences (msa) to different format
Home-page: http://mengguanliang.com
Author: Guanliang Meng
Author-email: mengguanliang@genomics.cn
License: UNKNOWN
Description: # msaconverter
        
        ## 1 Introduction
        
        `msaconverter` is a tool to convert a multiple sequence alignment into different format with `Biopython` (http://www.biopython.org/)
        
        ## 2 Installation
        
            pip install msaconverter
        
        There will be a command `msaconverter` created under the same directory as your `pip` command.
        
        ## 3 Usage
        
          $ msaconverter
          usage: msaconverter.py [-h] [-i <INFILE>] [-o <OUTFILE>]
                                 [-p {fasta,clustal,stockholm,nexus,phylip,phylip-sequential,phylip-relaxed,mauve,maf}]
                                 [-q {fasta,clustal,stockholm,nexus,phylip,phylip-sequential,phylip-relaxed,mauve,maf}]
        
          Convert multiple-sequence-alignment into different formats. See
          https://biopython.org/wiki/AlignIO for format introductions. By Guanliang
          MENG.
        
          optional arguments:
            -h, --help            show this help message and exit
            -i <INFILE>           input msa file
            -o <OUTFILE>          output msa file
            -p {fasta,clustal,stockholm,nexus,phylip,phylip-sequential,phylip-relaxed,mauve,maf}
                                  input msa format [fasta]
            -q {fasta,clustal,stockholm,nexus,phylip,phylip-sequential,phylip-relaxed,mauve,maf}
                                  input msa format [phylip-relaxed]
        
        
        ## Author
        Guanliang MENG
        
        ## Citation
        Currently I have no plan to publish `msaconverter`.
        
        However, since `msaconverter` makes use of `Biopython`, you should cite it if you use `msaconverter` in your work:
        
          Peter J. A. Cock, Tiago Antao, Jeffrey T. Chang, Brad A. Chapman, Cymon J. Cox, Andrew Dalke, Iddo Friedberg, Thomas Hamelryck, Frank Kauff, Bartek Wilczynski, Michiel J. L. de Hoon: “Biopython: freely available Python tools for computational molecular biology and bioinformatics”. Bioinformatics 25 (11), 1422–1423 (2009). https://doi.org/10.1093/bioinformatics/btp163
        
        Please go to `http://www.biopython.org/` for more details.
        
        
        
        
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
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 :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3
Description-Content-Type: text/markdown
