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NAME

       wiggle2gff3.pl - Converts UCSC WIG format files into gff3 files

SYNOPSIS

         wiggle2gff3.pl [options] WIG_FILE > load_data.gff3

       Converts UCSC WIG format files into gff3 files suitable for loading into GBrowse
       databases. This is used for high-density quantitative data such as CNV, SNP and expression
       arrays.

DESCRIPTION

       Use this converter when you have dense quantitative data to display using the xyplot,
       density, or heatmap glyphs, and too many data items (thousands) to load into GBrowse. It
       creates one or more space- efficient binary files containing the quantitative data, as
       well as a small GFF3 file that can be loaded into Chado or other GBrowse databases.

       Typical usage is as follows:

         % wiggle2gff3.pl --method=microarray_oligo my_data.wig > my_data.gff3

   Options
       The following options are accepted:

        --method=<method name>   Set the method for the GFF3 lines representing
                                  each quantitative data point in the track.
                                  The default is "microarray_oligo."

        --source=<source>        Set the source field for the GFF3 file. The default is
                                  none.

        --gff3                   Create a GFF3-format file (the default)

        --featurefile            Create a "featurefile" format file -- this is the
                                  simplified format used for GBrowse uploads. This
                                  option is incompatible with the --gff3 option.

        --sample                 If true, then very large files (>5 MB) will be sampled
                                  to obtain minimum, maximum and standard deviation; otherwise
                                  the entire file will be scanned to obtain these statistics.
                                  This will process the files faster but may miss outlier
                                  values.

        --path=<path>            Specify the directory in which to place the binary wiggle
                                  files. The default is the current temporary directory
                                  (/tmp or whatever is appropriate for your operating system).

        --base=<path>            Same as "--path".

        --trackname              specify the trackname base for the wigfile creation

        --help                   This documentation.

       This script will accept a variety of option styles, including abbreviated options
       ("--meth=foo"), single character options ("-m foo"), and other common variants.

   Binary wiggle files
       The binary "wiggle" files created by this utility are readable using the
       Bio::Graphics::Wiggle module. The quantitative data is scaled to the range of 1-255
       (losing lots of precision, but still more than enough for data visualization), and stored
       in a packed format in which each file corresponds to the length of a single chromosome or
       contig.

       Once created, the binary files should not be moved or renamed, unless you are careful to
       make corresponding changes to the pathnames given by the "wigfile" attribute in the GFF3
       file feature lines. You should also be careful about using the cp command to copy the
       binary files; they are formatted with "holes" in such a way that missing data does not
       take up any space on disk. If you cp them, the holes will fill up with zeroes and the
       space savings will be lost. Better to use the "tar" command with its --sparse option to
       move the files from one place to another.

   Example WIG File
       This example is from <http://genome.ucsc.edu/goldenPath/help/wiggle.html>:

        # filename: example.wig
        #
        #       300 base wide bar graph, autoScale is on by default == graphing
        #       limits will dynamically change to always show full range of data
        #       in viewing window, priority = 20 positions this as the second graph
        #       Note, zero-relative, half-open coordinate system in use for bed format
        track type=wiggle_0 name="Bed Format" description="BED format" \
            visibility=full color=200,100,0 altColor=0,100,200 priority=20
        chr19 59302000 59302300 -1.0
        chr19 59302300 59302600 -0.75
        chr19 59302600 59302900 -0.50
        chr19 59302900 59303200 -0.25
        chr19 59303200 59303500 0.0
        chr19 59303500 59303800 0.25
        chr19 59303800 59304100 0.50
        chr19 59304100 59304400 0.75
        chr19 59304400 59304700 1.00
        #       150 base wide bar graph at arbitrarily spaced positions,
        #       threshold line drawn at y=11.76
        #       autoScale off viewing range set to [0:25]
        #       priority = 10 positions this as the first graph
        #       Note, one-relative coordinate system in use for this format
        track type=wiggle_0 name="variableStep" description="variableStep format" \
            visibility=full autoScale=off viewLimits=0.0:25.0 color=255,200,0 \
            yLineMark=11.76 yLineOnOff=on priority=10
        variableStep chrom=chr19 span=150
        59304701 10.0
        59304901 12.5
        59305401 15.0
        59305601 17.5
        59305901 20.0
        59306081 17.5
        59306301 15.0
        59306691 12.5
        59307871 10.0
        #       200 base wide points graph at every 300 bases, 50 pixel high graph
        #       autoScale off and viewing range set to [0:1000]
        #       priority = 30 positions this as the third graph
        #       Note, one-relative coordinate system in use for this format
        track type=wiggle_0 name="fixedStep" description="fixed step" visibility=full \
            autoScale=off viewLimits=0:1000 color=0,200,100 maxHeightPixels=100:50:20 \
            graphType=points priority=30
        fixedStep chrom=chr19 start=59307401 step=300 span=200
        1000
         900
         800
         700
         600
         500
         400
         300
         200
         100

       You can convert this into a loadable GFF3 file with the following command:

        wiggle2gff3.pl --meth=example --so=example --path=/var/gbrowse/db example.wig \
                     > example.gff3

       The output will look like this:

        ##gff-version 3

        chr19  example example 59302001        59304700        .       .       .       Name=Bed Format;wigfile=/var/gbrowse/db/track001.chr19.1199828298.wig
        chr19  example example 59304701        59308020        .       .       .       Name=variableStep;wigfile=/var/gbrowse/db/track002.chr19.1199828298.wig
        chr19  example example 59307401        59310400        .       .       .       Name=fixedStep;wigfile=/var/gbrowse/db/track003.chr19.1199828298.wig

PROBLEMS

       This script has trouble with wig files from very fragmented genomes (>100K scaffolds). In
       this case, you may wish to run split_wig.pl, which splits the original wig file into a
       series of smaller files with a maximum of 900 scaffolds each. It then runs wiggle2gff3.pl
       for each subfile and stores the results in separate folders.

SEE ALSO

       Bio::DB::GFF, bp_bulk_load_gff.pl, bp_fast_load_gff.pl, bp_load_gff.pl,
       bp_seqfeature_load.pl

AUTHOR

       Lincoln Stein <lstein@cshl.org>.

       Copyright (c) 2008 Cold Spring Harbor Laboratory

       This package is free software; you can redistribute it and/or modify it under the terms of
       the GPL (either version 1, or at your option, any later version) or the Artistic License
       2.0.  Refer to LICENSE for the full license text.  See DISCLAIMER.txt for disclaimers of
       warranty.