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genc Function Calculate the effective number of codons (Nc) Description genc calculates the effective number of codons (ENC|Nc). ENC is a measure for species-independent codon usage bias. Some measures including CAI are species-dependent as optimal codons differ. ENC assigns a gene a number between 20 to 61 where 20 indicates that one codon is used for each amino acid and 61 indicates that each codon is used equally throughout the protein sequence. 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 genc % genc refseqn:NC_000913 Calculate the effective number of codons (Nc) Codon usage output file [nc_000913.genc]: 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) [-outfile] outfile [*.genc] Codon usage output file Additional (Optional) qualifiers: (none) Advanced (Unprompted) qualifiers: -translate boolean [N] Include when translates using standard codon table -delkey string [[^ACDEFGHIKLMNPQRSTVWYacgtU]] Regular expression to delete key (i.e. amino acids and nucleotides) (Any string) -[no]accid boolean [Y] Include to use sequence accession ID as query 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 "-outfile" associated qualifiers -odirectory2 string Output directory 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 genc reads one or more nucleotide sequences. Output file format The output from genc is to a plain text file. File: nc_000913.genc Sequence: NC_000913 enc,gene ,thrL 48.41,thrA 54.13,thrB 46.18,thrC 51.65,yaaX 45.71,yaaA 48.54,yaaJ 36.83,talB [Part of this file has been deleted for brevity] 51.43,yjjX 46.61,ytjC 49.83,rob 47.74,creA 50.63,creB 51.39,creC 48.42,creD 41.53,arcA 61,yjjY 53.63,yjtD Data files None. Notes None. References Comeron JM, Aguade M. (1998) An evaluation of measures of synonymous codon usage bias, J Mol Evol, 47(3):268-74. Wright F. (1990) The 'effective number of codons' used in a gene, Gene, 87:23-29. 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 gew Calculate a measure of synonymous codon usage evenness (Ew) gfop Calculate the frequency of optimal codons (Fop) gscs Calculates the scaled chi-square gwvalue Calculate the 'relative adaptiveness of each codon' (W) 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.