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1 <!--START OF HEADER - DON'T ALTER --> <HTML> <HEAD> <TITLE> EMBOSS: gcgr </TITLE> </HEAD> <BODY BGCOLOR="#FFFFFF" text="#000000"> <table align=center border=0 cellspacing=0 cellpadding=0> <tr><td valign=top> <A HREF="/" ONMOUSEOVER="self.status='Go to the EMBOSS home page';return true"><img border=0 src="http://soap.g-language.org/gembassy/emboss_explorer/manual/emboss_icon.jpg" alt="" width=150 height=48></a> </td> <td align=left valign=middle> <b><font size="+6"> gcgr </font></b> </td></tr> </table> <br>&nbsp; <p> <!--END OF HEADER--> <H2> Function </H2> Create a Chaos Game Representation of a given sequence <!-- DON'T WRITE ANYTHING HERE. IT IS DONE FOR YOU. --> <H2>Description</H2> <p> gcgr creates a Chaos Game Representation (CGR) image of a given sequence. CGR is generated by the following procedure:<br /> <br /> 1. Start from position (0,0) or the origin of two dimensional coordinate.<br /> Four nucleotides are located at the four corners:<br /> A: (-1, 1) upper left<br /> T: (1, -1) lower right<br /> G: (1, 1) upper right<br /> C: (-1, -1) lower left<br /> 2. For each nucleotide, move and mark the new location which is halfway<br /> between the current location and the nucleotide.<br /> For example, if the first letter is A, position is moved from (0,0) to<br /> midpoint between (-1, 1) and (0,0), which is (-0.5, 0.5).<br /> <br /> 3. Repeat this procedure for all nucleotides.<br /> CGR is a generalized scale-independent Markov probability table for the<br /> sequence, and oligomer tables can be deduced from CGR image.<br /> <br /> G-language SOAP service is provided by the<br /> Institute for Advanced Biosciences, Keio University.<br /> The original web service is located at the following URL:<br /> <br /> http://www.g-language.org/wiki/soap<br /> <br /> WSDL(RPC/Encoded) file is located at:<br /> <br /> http://soap.g-language.org/g-language.wsdl<br /> <br /> Documentation on G-language Genome Analysis Environment methods are<br /> provided at the Document Center<br /> <br /> http://ws.g-language.org/gdoc/<br /> <br /> </p> <H2>Usage</H2> Here is a sample session with gcgr <table width="90%"><tr><td bgcolor="#CCFFFF"><pre> % gcgr refseqn:NC_000913 Create a Chaos Game Representation of a given sequence Created gcgr.1.png </pre></td></tr></table> Go to the <a href="#input">input files</a> for this example<br> Go to the <a href="#output">output files</a> for this example<br><br> <h2>Command line arguments</h2> <table border cellspacing=0 cellpadding=3 bgcolor="#ccccff"> <tr bgcolor="#FFFFCC"> <th align="left">Qualifier</th> <th align="left">Type</th> <th align="left">Description</th> <th align="left">Allowed values</th> <th align="left">Default</th> </tr> <tr bgcolor="#FFFFCC"> <th align="left" colspan=5>Standard (Mandatory) qualifiers</th> </tr> <tr bgcolor="#FFFFCC"> <td>[-sequence]<br>(Parameter 1)</td> <td>seqall</td> <td>Nucleotide sequence(s) filename and optional format, or reference (input USA)</td> <td>Readable sequence(s)</td> <td><b>Required</b></td> </tr> <tr bgcolor="#FFFFCC"> <th align="left" colspan=5>Additional (Optional) qualifiers</th> </tr> <tr> <td colspan=5>(none)</td> </tr> <tr bgcolor="#FFFFCC"> <th align="left" colspan=5>Advanced (Unprompted) qualifiers</th> </tr> <tr bgcolor="#FFFFCC"> <td>-format</td> <td>string</td> <td>Output file format. Dependent on 'convert' command</td> <td>Any string</td> <td>png</td> </tr> <tr bgcolor="#FFFFCC"> <td>-width</td> <td>integer</td> <td>Width of image</td> <td>Any integer value</td> <td>1024</td> </tr> <tr bgcolor="#FFFFCC"> <td>-goutfile</td> <td>string</td> <td>Output file for non interactive displays</td> <td>Any string</td> <td>gcgr</td> </tr> </table> <h2 id="input">Input file format</h2> <p> The database definitions for following commands are available at<br /> http://soap.g-language.org/kbws/embossrc<br /> <br /> gcgr reads one or more nucleotide sequences.<br /> <br /> </p> <h2 id="output">Output file format</h2> <p> The output from gcgr is to an image file. </p> <h2>Data files</h2> <p> None. </p> <h2>Notes</h2> <p> None. </p> <h2>References</h2> <pre> Arakawa, K., Mori, K., Ikeda, K., Matsuzaki, T., Konayashi, Y., and Tomita, M. (2003) G-language Genome Analysis Environment: A Workbench for Nucleotide Sequence Data Mining, Bioinformatics, 19, 305-306. Arakawa, K. and Tomita, M. (2006) G-language System as a Platform for large-scale analysis of high-throughput omics data, J. Pest Sci., 31, 7. Arakawa, K., Kido, N., Oshita, K., Tomita, M. (2010) G-language Genome Analysis Environment with REST and SOAP Web Service Interfaces, Nucleic Acids Res., 38, W700-W705. </pre> <h2>Warnings</h2> <p> None. </p> <h2>Diagnostic Error Messages</h2> <p> None. </p> <h2>Exit status</h2> <p> It always exits with a status of 0. </p> <h2>Known bugs</h2> <p> None. </p> <h2>See also</h2> <table border cellpadding=4 bgcolor="#FFFFF0"><tr><th>Program name</th> <th>Description</th></tr> <tr> <td><a href="gseq2png.html">gseq2png</a></td> <td>Converts a sequence to PNG image</td> </tr> </table> <h2>Author(s)</h2> <pre> Hidetoshi Itaya (celery@g-language.org) Institute for Advanced Biosciences, Keio University 252-0882 Japan Kazuharu Arakawa (gaou@sfc.keio.ac.jp) Institute for Advanced Biosciences, Keio University 252-0882 Japan</pre> <h2>History</h2> 2012 - Written by Hidetoshi Itaya <h2>Target users</h2> This program is intended to be used by everyone and everything, from naive users to embedded scrips. <h2>Comments</h2> None. </BODY> </HTML>