Mercurial > repos > ktnyt > gembassy
view GEMBASSY-1.0.3/doc/text/gcgr.txt @ 1:84a17b3fad1f draft
Uploaded
author | ktnyt |
---|---|
date | Fri, 26 Jun 2015 05:20:29 -0400 |
parents | 8300eb051bea |
children |
line wrap: on
line source
gcgr Function Create a Chaos Game Representation of a given sequence Description gcgr creates a Chaos Game Representation (CGR) image of a given sequence. CGR is generated by the following procedure: 1. Start from position (0,0) or the origin of two dimensional coordinate. Four nucleotides are located at the four corners: A: (-1, 1) upper left T: (1, -1) lower right G: (1, 1) upper right C: (-1, -1) lower left 2. For each nucleotide, move and mark the new location which is halfway between the current location and the nucleotide. For example, if the first letter is A, position is moved from (0,0) to midpoint between (-1, 1) and (0,0), which is (-0.5, 0.5). 3. Repeat this procedure for all nucleotides. CGR is a generalized scale-independent Markov probability table for the sequence, and oligomer tables can be deduced from CGR image. G-language SOAP service is provided by the Institute for Advanced Biosciences, Keio University. The original web service is located at the following URL: http://www.g-language.org/wiki/soap WSDL(RPC/Encoded) file is located at: http://soap.g-language.org/g-language.wsdl Documentation on G-language Genome Analysis Environment methods are provided at the Document Center http://ws.g-language.org/gdoc/ Usage Here is a sample session with gcgr % gcgr refseqn:NC_000913 Create a Chaos Game Representation of a given sequence Created gcgr.1.png Go to the input files for this example Go to the output files for this example Command line arguments Standard (Mandatory) qualifiers: [-sequence] seqall Nucleotide sequence(s) filename and optional format, or reference (input USA) Additional (Optional) qualifiers: (none) Advanced (Unprompted) qualifiers: -format string [png] Output file format. Dependent on 'convert' command (Any string) -width integer [1024] Width of image (Any integer value) -goutfile string [gcgr] Output file for non interactive displays (Any string) Associated qualifiers: "-sequence" associated qualifiers -sbegin1 integer Start of each sequence to be used -send1 integer End of each sequence to be used -sreverse1 boolean Reverse (if DNA) -sask1 boolean Ask for begin/end/reverse -snucleotide1 boolean Sequence is nucleotide -sprotein1 boolean Sequence is protein -slower1 boolean Make lower case -supper1 boolean Make upper case -scircular1 boolean Sequence is circular -sformat1 string Input sequence format -iquery1 string Input query fields or ID list -ioffset1 integer Input start position offset -sdbname1 string Database name -sid1 string Entryname -ufo1 string UFO features -fformat1 string Features format -fopenfile1 string Features file name General qualifiers: -auto boolean Turn off prompts -stdout boolean Write first file to standard output -filter boolean Read first file from standard input, write first file to standard output -options boolean Prompt for standard and additional values -debug boolean Write debug output to program.dbg -verbose boolean Report some/full command line options -help boolean Report command line options and exit. More information on associated and general qualifiers can be found with -help -verbose -warning boolean Report warnings -error boolean Report errors -fatal boolean Report fatal errors -die boolean Report dying program messages -version boolean Report version number and exit Input file format The database definitions for following commands are available at http://soap.g-language.org/kbws/embossrc gcgr reads one or more nucleotide sequences. Output file format The output from gcgr is to an image file. Data files None. Notes None. References 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. Warnings None. Diagnostic Error Messages None. Exit status It always exits with a status of 0. Known bugs None. See also gseq2png Converts a sequence to PNG image Author(s) 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 History 2012 - Written by Hidetoshi Itaya 2013 - Fixed by Hidetoshi Itaya Target users This program is intended to be used by everyone and everything, from naive users to embedded scripts. Comments None.