Metadata-Version: 2.1
Name: pywgsim
Version: 0.3.1
Summary: pywgsim
Home-page: https://github.com/ialbert/pywgsim
Author: Istvan Albert
Author-email: istvan.albert@gmail.com
License: UNKNOWN
Description: ## pywsgim
        
        pywgsim is a modified version of the wgsim short read simulator. 
        
        * https://github.com/lh3/wgsim
        
        The package provides both a python wrapper and standalone compiled executables for Linux and MacOS.
         
        ## Usage
        
            pywgsim -h
        
        ## Installation
        
            pip install pywgsim
            
        Clone the repository and run `make` to get an executable compiled version of `pywgsim` in the `scripts` directory. 
        
        ## Changes
        
        The original code for wgsim has been altered as follows:
        
        1. The output for the mutations introduced by `wgsim` are now generated in GFF format.
        1. The separator character in the read name has been changed from `_` to `|`. 
        1. There is a new flag called `--fixed` that generates the same `N` number of reads for each chromosome.
        
        The read naming now follows a more widely accepted convention (i.e. NCBI) and allows for contigs with underscores in them. In addition the visual inspection of the read names is easier: `@NC_002945.4|1768156|1768694|0:0:0|4:0:0|4`
        
        In the default operation of wgsim the `N` reads are distribute such to create a uniform coverage across all chromosomes (longer chromosomes get a larger fraction of N). When the `fixed` mode is enabled `N` reads will be generated for each chromosome.
        
        The `fixed` mode was introduced to simplify the evaluation of classifiers. Since the same number of reads is generated from each input sequence that makes it much simpler the assess the quality of classifications. 
         
        ## Mutation output
        
        The output generated by `pywgsim` looks like this:
        
            ##gff-version 3
            #
            # N=1000 err_rate=0.02 mut_rate=0.001 indel_frac=0.15000001 indel_ext=0.25 size=500 std=50 len1=100 len2=100 seed=1606965870
            #
            NC_001416.1     wgsim   snp     1047    1047    .       +       .       Name=A/C;Ref=A;Alt=C;Type=hom
            NC_001416.1     wgsim   snp     1308    1308    .       +       .       Name=C/Y;Ref=C;Alt=Y;Type=het
            NC_001416.1     wgsim   snp     1533    1533    .       +       .       Name=G/T;Ref=G;Alt=T;Type=hom
            NC_001416.1     wgsim   snp     2472    2472    .       +       .       Name=C/M;Ref=C;Alt=M;Type=het
            NC_001416.1     wgsim   snp     2964    2964    .       +       .       Name=A/M;Ref=A;Alt=M;Type=het
            NC_001416.1     wgsim   snp     5375    5375    .       +       .       Name=G/R;Ref=G;Alt=R;Type=het
            
            
        ## Read name conventions
           
        The read names are now of the form:
        
               @NC_002945.4|1768156|1768694|0:0:0|4:0:0|4
        
        Where:
        
           * `NC_002945.4` is the contig name that the fragment was generated from.
           * `1768156` is the left-most position of the fragment.
           * `1768694` is the right-most position of the fragment.
           * `0:0:0` are the number of errors, substitutions and indels in the left-most read of the pair.
           * `4:0:0` are the number of errors, substitutions and indels in the right-most read of the pair.
           * `4` is the read pair number, unique, per contig.
        
        ## Help
        
            $ pywgsim -h
            
        prints:
            
            usage: pywgsim [-h] [-e 0.02] [-D 500] [-s 50] [-N 1000] [-1 70] [-2 70]
                           [-r 0.001] [-R 0.15] [-X 0.25] [-S 0] [-A 0.05] [-f]
                           genome [read1] [read2]
            
            positional arguments:
              genome                FASTA reference sequence
              read1                 FASTQ file for first in pair
              read2                 FASTQ file for second in pair
            
            optional arguments:
              -h, --help            show this help message and exit
              -e 0.02, --err 0.02   the base error rate
              -D 500, --dist 500    outer distance between the two ends
              -s 50, --stdev 50     standard deviation
              -N 1000, --num 1000   number of read pairs
              -1 70, --L1 70        length of the first read
              -2 70, --L2 70        length of the second read
              -r 0.001, --mut 0.001
                                    rate of mutations
              -R 0.15, --frac 0.15  fraction of indels
              -X 0.25, --ext 0.25   probability an indel is extended
              -S 0, --seed 0        seed for the random generator
              -A 0.05, --amb 0.05   disregard if the fraction of ambiguous bases higher
                                    than FLOAT
              -f, --fixed           each chromosome gets N sequences
                  
        ## API
        
        The C interface to `wgsim` is accessible as a single function call 
        
            from pywgsim import wgsim
        
            wgsim.core(r1="r1.fq", r2="r2.fq", ref="genome.fa", err_rate=0.02, mut_rate=0.001, indel_frac=0.15, indel_ext=0.25, max_n=0.05, is_hap=0, N=100000,  dist=500, stdev=50, size_l=100, size_r=100, is_fixed=0, seed=0)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX
Classifier: Programming Language :: C
Classifier: Programming Language :: Cython
Requires-Python: >=3.6
Description-Content-Type: text/markdown
