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📄 oddcomp.txt

📁 emboss的linux版本的源代码
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                                  oddcomp Function   Find protein sequence regions with a biased compositionDescription   oddcomp searches a series of protein files, reporting the identifier   for those that exceed a certain amino acid composition threshold in a   portion of the sequence.   oddcomp was written to answer the question 'which proteins contain at   least n X and m Y in p residues'.   One could search for serine rich or polyglutamine rich, collagen   helix, or similar proteins using this program.   oddcomp takes as input an amino acid composition data file in the same   format as the output from compseq. It can tolerate any word length   within reason for the memory capacity of the machine in question. Only   the first two fields in the composition data file are used: the word   and the number of occurrences. Any word not mentioned is initialised   to a threshold of zero.   oddcomp measures the amino acid composition (this can be dimers etc as   well as monomers) in a sliding window. If and when composition meets   or exceeds all the specified thresholds, the sequence is reported and   oddcomp moves to the next sequence. It does not report where in the   sequence it found the matching region, merely the sequence ID.   oddcomp was originally written to identify SR/RS containing proteins.   eg. specifying a window of forty amino acids containing at least 3 SR   and 4 RS words.   To search for a specific set of words in a sequence, edit the input   composition data file to delete any words from the input file in which   you are not interested. The search is a boolean AND so there must be   (from the short example above) at least 3 SR AND at least 4 RS for the   sequence to be reported. If your total words specified exceeds   window-wordlength+1 you will never get any hits.   Only one word size can be used and is specified at the top of the file   in compseq-style output.Usage   Here is a sample session with oddcomp   To search for entries in swissprot with at least 1 SR AND at least 2   RS:% oddcomp Find protein sequence regions with a biased compositionInput protein sequence(s): tsw:*Program compseq output file: oddcomp.compWindow size to consider (e.g. 30 aa) [30]: Output file [100k_rat.oddcomp]: out.odd   Go to the input files for this example   Go to the output files for this exampleCommand line arguments   Standard (Mandatory) qualifiers (* if not always prompted):  [-sequence]          seqall     Protein sequence(s) filename and optional                                  format, or reference (input USA)  [-infile]            infile     This is a file in the format of the output                                  produced by 'compseq' that is used to set                                  the minimum frequencies of words in this                                  analysis.*  -window             integer    [30] This is the size of window in which to                                  count.                                  Thus if you want to count frequencies in a                                  40 aa stretch you should enter 40 here.                                  (Integer 10 or more)  [-outfile]           outfile    [*.oddcomp] This is the results file.   Additional (Optional) qualifiers: (none)   Advanced (Unprompted) qualifiers:   -fullwindow         toggle     [N] Set this option on (Y) if you want the                                  window size to be set to the length of the                                  current protein. Otherwise, leave this                                  option unset, in which case you'll be                                  prompted for a window size to use.   -[no]ignorebz       boolean    [Y] The amino acid code B represents                                  Asparagine or Aspartic acid and the code Z                                  represents Glutamine or Glutamic acid.                                  These are not commonly used codes and you                                  may wish not to count words containing them,                                  just noting them in the count of 'Other'                                  words.   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   -sformat1           string     Input sequence format   -sdbname1           string     Database name   -sid1               string     Entryname   -ufo1               string     UFO features   -fformat1           string     Features format   -fopenfile1         string     Features file name   "-outfile" associated qualifiers   -odirectory3        string     Output directory   General qualifiers:   -auto               boolean    Turn off prompts   -stdout             boolean    Write standard output   -filter             boolean    Read standard input, write 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. 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 messagesInput file format  Input files for usage example   'tsw:*' is a sequence entry in the example protein database 'tsw'  File: oddcomp.comp# Example input file for oddcompWord size       2Total count     0## Word  Obs Count       Obs Frequency   Exp Frequency   Obs/Exp Frequency#RS      2               0               0               0SR      1               0               0               0Other   0               0               0               0   The columns "Obs Frequency", "Exp Frequency" and "Obs/Exp Frequency"   are not required - they were simply included in this example to show   the similarity between this input file format and the output of the   program compseq. A compseq output file can be used as the input to   oddcomp - the extra columns are ignored by oddcomp.   A minimal composition input data file would look like this:     _________________________________________________________________Word size       2Total count     0RS      2SR      1     _________________________________________________________________   Blank lines and lines starting with '#' are ignored.   The first non-comment line should start with 'Word size' and will   specify the word size to use.   A line starting with the word 'Total' is required.   Anything after the line starting with the word 'Total' will be read as   word count data.   Word count data consists of a word to search for and the count of that   word to search for within the sliding window. The columns are   separated by one or more spaces or TAB characters. Anything after   these two columns will be ignored.Output file format   oddcomp writes a list of sequence name identifiers.  Output files for usage example  File: out.odd## Output from 'oddcomp'## The Expected frequencies are taken from the file: ../../data/oddcomp.comp##       Word size: 2        CB1B_FUGRU        CO9_FUGRU        FOS_FUGRU        RS7_FUGRU#       END     #Data files   None.Notes   None.References   None.Warnings   None.Diagnostic Error Messages   None.Exit status   It always exits with a status of 0.Known bugs   None.See also    Program name                         Description   antigenic      Finds antigenic sites in proteins   digest         Protein proteolytic enzyme or reagent cleavage digest   epestfind      Finds PEST motifs as potential proteolytic cleavage sites   fuzzpro        Protein pattern search   fuzztran       Protein pattern search after translation   helixturnhelix Report nucleic acid binding motifs   patmatdb       Search a protein sequence with a motif   patmatmotifs   Search a PROSITE motif database with a protein sequence   pepcoil        Predicts coiled coil regions   preg           Regular expression search of a protein sequence   pscan          Scans proteins using PRINTS   sigcleave      Reports protein signal cleavage sitesAuthor(s)   David Martin (dmartin 

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