| sirna

## Function

Finds siRNA duplexes in mRNA

## Description

RNA interference, or RNAi, is a phenomenon in which double stranded RNA (dsRNA) effects silencing of the expression of genes that are highly homologous to either of the RNA strands in the duplex. Gene silencing in RNAi results from the degradation of mRNA sequences, and the effect has been used to determine the function of many genes in Drosophilia, C. elegans, and many plant species.

The duration of knockdown by siRNA can typically last for 7-10 days, and has been shown to transfer to daughter cells. Of further note, siRNAs are effective at quantities much lower than alternative gene silencing methodologies, including antisense and ribozyme based strategies.

Due to various mechanisms of antiviral response to long dsRNA, RNAi at first proved more difficult to establish in mammalian species. Then, Tuschl, Elbashir, and others discovered that RNAi can be elicited very effectively by well-defined 21-base duplex RNAs. When these small interfering RNA, or siRNA, are added in duplex form with a transfection agent to mammalian cell cultures, the 21-base-pair RNA acts in concert with cellular components to silence the gene with sequence homology to one of the siRNA sequences. Strategies for the design of effective siRNA sequences have been recently documented, most notably by Sayda Elbashir, Thomas Tuschl, et al.

Their studies of mammalian RNAi suggest that the most efficient gene-silencing effect is achieved using double-stranded siRNA having a 19-nucleotide complementary region and a 2-nucleotide 3' overhang at each end. Current models of the RNAi mechanism suggest that the antisense siRNA strand recognizes the specific gene target.

In gene-specific RNAi, the coding region (CDS) of the mRNA is usually targeted. The search for an appropriate target sequence should begin 50-100 nucleotides downstream of the start codon. UTR-binding proteins and/or translation initiation complexes may interfere with the binding of the siRNP endonuclease complex. Tuschl, Elbashir et al. say that they have successfully used siRNAs targetting the 3' UTR.

To avoid interference from mRNA regulatory proteins, sequences in the 5' untranslated region or near the start codon should not be targeted.

A set of rules for the design of siRNA has been suggested http://www.mpibpc.gwdg.de/abteilungen/100/105/sirna.html based on the work of Tuschl, Elbashir et al.

They suggest searching for 23-nt sequence motif AA(N19)TT (N, any nucleotide) and select hits with approx. 50% G/C-content (30% to 70% has also worked in for them). If no suitable sequences are found, the search is extended using the motif NA(N21). The sequence of the sense siRNA corresponds to (N19)TT or N21 (position 3 to 23 of the 23-nt motif), respectively. In the latter case, they convert the 3' end of the sense siRNA to TT.

The rationale for this sequence conversion is to generate a symmetric duplex with respect to the sequence composition of the sense and antisense 3' overhangs. The antisense siRNA is synthesized as the complement to position 1 to 21 of the 23-nt motif. Because position 1 of the 23-nt motif is not recognized sequence-specifically by the antisense siRNA, the 3'-most nucleotide residue of the antisense siRNA, can be chosen deliberately. However, the penultimate nucleotide of the antisense siRNA (complementary to position 2 of the 23-nt motif) should always be complementary to the targeted sequence. For simplifying chemical synthesis, they always use TT.

More recently, they preferentially select siRNAs corresponding to the target motif NAR(N17)YNN, where R is purine (A, G) and Y is pyrimidine (C, U). The respective 21-nt sense and antisense siRNAs therefore begin with a purine nucleotide and can also be expressed from pol III expression vectors without a change in targeting site; expression of RNAs from pol III promoters is only efficient when the first transcribed nucleotide is a purine.

They always design siRNAs with symmetric 3' TT overhangs, believing that symmetric 3' overhangs help to ensure that the siRNPs are formed with approximately equal ratios of sense and antisense target RNA-cleaving siRNPs Please note that the modification of the overhang of the sense sequence of the siRNA duplex is not expected to affect targeted mRNA recognition, as the antisense siRNA strand guides target recognition. In summary, no matter what you do to your overhangs, siRNAs should still function to a reasonable extent. However, using TT in the 3' overhang will always help your RNA synthesis company to let you know when you accidentally order a siRNA sequences 3' to 5' rather than in the recommended format of 5' to 3'.

sirna reports both the sense and antisense siRNAs as 5' to 3'.

Xeragon.com also suggest that choosing a region of the mRNA with a GC content as close as possible to 50% is a more important consideration than choosing a target sequence that begins with AA. They also suggest that a key consideration in target selection is to avoid having more than three guanosines in a row, since poly G sequences can hyperstack and form agglomerates that potentially interfere with the siRNA silencing mechanism.

siRNAs appear to effectively silence genes in more than 80% of cases. Current data indicate that there are regions of some mRNAs where gene silencing does not work. To help ensure that a given target gene is silenced, it is advised that at least two target sequences as far apart on the gene as possible be chosen.

mRNA secondary structure does not appear to have a significant effect on gene silencing.

### Coding region specification

It is possible (although the evidence is not clear) that regulatory protein binding to regions in and near the untranslated 5' region might interfere with the RNAi process.

Therefore, this program avoids choosing siRNA probes from the 5' UTR and from the first 50 bases of the coding region. The second 50 bases of the coding region has a penalty associated with it to reduce the reporting of possible siRNA probes in this region.

If the input sequence has a feature table specifying a coding region, then this will be used, else you can specify the start of the coding region, where this is known by the '-sbegin' command-line qualifier (which is normally used to specify the start of the region of a sequence that should be analysed in all EMBOSS programs).

sirna looks at the feature table of the input mRNA sequence to find the coding regions (CDS). It will ignore the 5' UTR and the first 50 bases of the CDS. It will assign a penalty of 2 points to any siRNA in positions 51 to 100 in the CDS. If there is no CDS in the feature table, you can specify the CDS by using the command-line qualifier '-sbegin' to indicate where the CDS should start. If there is no CDS in the feature table and you do not use the command-line qualifier '-sbegin', then sirna will assume that the CDS region is not known and will look for siRNAs in the whole of the sequence with no penalties associated with the location within the sequence.

### All these confusing regions

There are a lot of references to 23 base regions, 21 base regions, 19 base regions, etc. in any description of siRNA.

Perhaps an example with a sequence would be clearer?

The 23 base region, in this case starting with an 'AA', might typically look like:

    5' AAGUGAGAGGUCAGACUCCUATC

The sense siRNA is made from the 19 bases of positions 3 to 21 of the 23 base target region, so:

    5'   GUGAGAGGUCAGACUCCUA

and then typically d(TT) is added, so:

    5'   GUGAGAGGUCAGACUCCUAdTdT

The antisense siRNA sequence is made from bases 3 to 21 of the target region, so:

    5'   GUGAGAGGUCAGACUCCUA sense
    3'   CACUCUCCAGUCUGAGGAU antisense 3' -> 5'

so the antisense sequence that should be ordered with d(TT) added is:

    5'   UAGGAGUCUGACCUCUCACdTdT antisense 5' -> 3'

## Algorithm

    for each input sequence:

        find the start position of the CDS in the feature table
        if there is no such CDS, take the -sbegin position as the CDS start

        for each 23 base window along the sequence:

            set the score for this window = 0
            if base 2 of the window is not 'a': ignore this window
            if the window is within 50 bases of the CDS start: ignore this window
    	if the window is within 100 bases of the CDS: score = -2
    	measure the %GC of the 20 bases from position 2 to 21 of the window
    	for the following %GC values change the score:
    		%GC <= 25% (<= 5 bases): ignore this window
    		%GC 30% (6 bases): score + 0
    		%GC 35% (7 bases): score + 2
    		%GC 40% (8 bases): score + 4
    		%GC 45% (9 bases): score + 5
    		%GC 50% (10 bases): score + 6
    		%GC 55% (11 bases): score + 5
    		%GC 60% (12 bases): score + 4
    		%GC 65% (13 bases): score + 2
    		%GC 70% (14 bases): score + 0
    		%GC >= 75% (>= 15 bases): ignore this window
    	if the window starts with a 'AA': score + 3
    	if the window does not start 'AA' and it is required: ignore this window
    	if the window ends with a 'TT': score + 1
    	if the window does not end 'TT' and it is required: ignore this window
    	if 4 G's in a row are found: ignore this window
    	if any 4 bases in a row are present and not required: ignore this window
    	if PolIII probes are required and the window is not NARN(17)YNN: ignore this window
            if the score is > 0: store this window for output

        sort the windows found by their score
        output the 23-base windows to the sequence file
        if the 'context' qualifier is specified, output window bases 1 and 2 in brackets to the report file
        take the window bases 3 to 21, add 'dTdT' output to the report file
        take the window bases 3 to 21, reverse complement, add 'dTdT' output to the report file

## Usage

Here is a sample session with sirna

    % sirna
    Finds siRNA duplexes in mRNA
    Input nucleotide sequence(s): tembl:x65923
    Output report [x65923.sirna]:
    output sequence(s) [x65923.fasta]:

Go to the input files for this example
Go to the output files for this example

Example 2

Show the first two bases of the 23 base target region in brackets. These do not form part of the sequence to be ordered, but it is useful to see if the 23 base region starts with an 'AA'.

    % sirna -context
    Finds siRNA duplexes in mRNA
    Input nucleotide sequence(s): tembl:x65923
    Output report [x65923.sirna]:
    output sequence(s) [x65923.fasta]:

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]           report     [*.sirna] The output is a table of the
                                      forward and reverse parts of the 21 base
                                      siRNA duplex. Both the forward and reverse
                                      sequences are written 5' to 3', ready to be
                                      ordered. The last two bases have been
                                      replaced by 'dTdT'. The starting position of
                                      the 23 base region and the %GC content is
                                      also given. If you wish to see the complete
                                      23 base sequence, then either look at the
                                      sequence in the other output file, or use
                                      the qualifier '-context' which will display
                                      the 23 bases of the forward sequence in this
                                      report withthe first two bases in brackets.
                                      These first two bases do not form part of
                                      the siRNA probe to be ordered.
      [-outseq]            seqoutall  [<sequence>.<format>] This is a file of the
                                      sequences of the 23 base regions that the
                                      siRNAs are selected from. You may use it to
                                      do searches of mRNA databases (e.g. REFSEQ)
                                      to confirm that the probes are unique to the
                                      gene you wish to use it on.

       Additional (Optional) qualifiers:
       -poliii             boolean    [N] This option allows you to select only
                                      the 21 base probes that start with a purine
                                      and so can be expressed from Pol III
                                      expression vectors. This is the NARN(17)YNN
                                      pattern that has been suggested by Tuschl et
                                      al.
       -aa                 boolean    [N] This option allows you to select only
                                      those 23 base regions that start with AA. If
                                      this option is not selected then regions
                                      that start with AA will be favoured by
                                      giving them a higher score, but regions that
                                      do not start with AA will also be reported.
       -tt                 boolean    [N] This option allows you to select only
                                      those 23 base regions that end with TT. If
                                      this option is not selected then regions
                                      that end with TT will be favoured by giving
                                      them a higher score, but regions that do not
                                      end with TT will also be reported.
       -[no]polybase       boolean    [Y] If this option is FALSE then only those
                                      23 base regions that have no repeat of 4 or
                                      more of any bases in a row will be reported.
                                      No regions will ever be reported that have
                                      4 or more G's in a row.
       -context            boolean    [N] The output report file gives the
                                      sequences of the 21 base siRNA regions ready
                                      to be ordered. This does not give you an
                                      indication of the 2 bases before the 21
                                      bases. It is often interesting to see which
                                      of the suggested possible probe regions have
                                      an 'AA' in front of them (i.e. it is useful
                                      to see which of the 23 base regions start
                                      with an 'AA'). This option displays the
                                      whole 23 bases of the region with the first
                                      two bases in brackets, e.g. '(AA)' to give
                                      you some context for the probe region. YOU
                                      SHOULD NOT INCLUDE THE TWO BASES IN BRACKETS
                                      WHEN YOU PLACE AN ORDER FOR THE PROBES.

       Advanced (Unprompted) qualifiers: (none)
       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
       -rformat2           string     Report format
       -rname2             string     Base file name
       -rextension2        string     File name extension
       -rdirectory2        string     Output directory
       -raccshow2          boolean    Show accession number in the report
       -rdesshow2          boolean    Show description in the report
       -rscoreshow2        boolean    Show the score in the report
       -rusashow2          boolean    Show the full USA in the report
       -rmaxall2           integer    Maximum total hits to report
       -rmaxseq2           integer    Maximum hits to report for one sequence

       "-outseq" associated qualifiers
       -osformat3          string     Output seq format
       -osextension3       string     File name extension
       -osname3            string     Base file name
       -osdirectory3       string     Output directory
       -osdbname3          string     Database name to add
       -ossingle3          boolean    Separate file for each entry
       -oufo3              string     UFO features
       -offormat3          string     Features format
       -ofname3            string     Features file name
       -ofdirectory3       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 messages

Standard (Mandatory) qualifiers | Allowed values | Default
--- | --- | ---
[-sequence] (Parameter 1) | Nucleotide sequence(s) filename and optional format, or reference (input USA) | Readable sequence(s) | Required

[-outfile]
(Parameter 2)

The output is a table of the forward and reverse parts of the 21 base siRNA duplex. Both the forward and reverse sequences are written 5' to 3', ready to be ordered. The last two bases have been replaced by 'dTdT'. The starting position of the 23 base region and the %GC content is also given. If you wish to see the complete 23 base sequence, then either look at the sequence in the other output file, or use the qualifier '-context' which will display the 23 bases of the forward sequence in this report withthe first two bases in brackets. These first two bases do not form part of the siRNA probe to be ordered.

Report output file

<*>.sirna

[-outseq] (Parameter 3) | This is a file of the sequences of the 23 base regions that the siRNAs are selected from. You may use it to do searches of mRNA databases (e.g. REFSEQ) to confirm that the probes are unique to the gene you wish to use it on. | Writeable sequence(s) | <*>.format
Additional (Optional) qualifiers | Allowed values | Default
-poliii | This option allows you to select only the 21 base probes that start with a purine and so can be expressed from Pol III expression vectors. This is the NARN(17)YNN pattern that has been suggested by Tuschl et al. | Boolean value Yes/No | No
-aa | This option allows you to select only those 23 base regions that start with AA. If this option is not selected then regions that start with AA will be favoured by giving them a higher score, but regions that do not start with AA will also be reported. | Boolean value Yes/No | No
-tt | This option allows you to select only those 23 base regions that end with TT. If this option is not selected then regions that end with TT will be favoured by giving them a higher score, but regions that do not end with TT will also be reported. | Boolean value Yes/No | No
-[no]polybase | If this option is FALSE then only those 23 base regions that have no repeat of 4 or more of any bases in a row will be reported. No regions will ever be reported that have 4 or more G's in a row. | Boolean value Yes/No | Yes

-context

The output report file gives the sequences of the 21 base siRNA regions ready to be ordered. This does not give you an indication of the 2 bases before the 21 bases. It is often interesting to see which of the suggested possible probe regions have an 'AA' in front of them (i.e. it is useful to see which of the 23 base regions start with an 'AA'). This option displays the whole 23 bases of the region with the first two bases in brackets, e.g. '(AA)' to give you some context for the probe region. YOU SHOULD NOT INCLUDE THE TWO BASES IN BRACKETS WHEN YOU PLACE AN ORDER FOR THE PROBES.

Boolean value Yes/No

No

Advanced (Unprompted) qualifiers | Allowed values | Default
(none)

## Input file format

sirna reads any normal sequence USAs.

### Input files for usage example

'tembl:x65923' is a sequence entry in the example nucleic acid database 'tembl'

### Database entry: tembl:x65923

    ID   X65923; SV 1; linear; mRNA; STD; HUM; 518 BP.
    XX
    AC   X65923;
    XX
    DT   13-MAY-1992 (Rel. 31, Created)
    DT   18-APR-2005 (Rel. 83, Last updated, Version 11)
    XX
    DE   H.sapiens fau mRNA
    XX
    KW   fau gene.
    XX
    OS   Homo sapiens (human)
    OC   Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia;
    OC   Eutheria; Euarchontoglires; Primates; Haplorrhini; Catarrhini; Hominidae;
    OC   Homo.
    XX
    RN   [1]
    RP   1-518
    RA   Michiels L.M.R.;
    RT   ;
    RL   Submitted (29-APR-1992) to the EMBL/GenBank/DDBJ databases.
    RL   L.M.R. Michiels, University of Antwerp, Dept of Biochemistry,
    RL   Universiteisplein 1, 2610 Wilrijk, BELGIUM
    XX
    RN   [2]
    RP   1-518
    RX   PUBMED; 8395683.
    RA   Michiels L., Van der Rauwelaert E., Van Hasselt F., Kas K., Merregaert J.;
    RT   " fau cDNA encodes a ubiquitin-like-S30 fusion protein and is expressed as
    RT   an antisense sequences in the Finkel-Biskis-Reilly murine sarcoma virus";
    RL   Oncogene 8(9):2537-2546(1993).
    XX
    DR   H-InvDB; HIT000322806.
    XX
    FH   Key             Location/Qualifiers
    FH
    FT   source          1..518
    FT                   /organism="Homo sapiens"
    FT                   /chromosome="11q"
    FT                   /map="13"
    FT                   /mol_type="mRNA"
    FT                   /clone_lib="cDNA"
    FT                   /clone="pUIA 631"
    FT                   /tissue_type="placenta"
    FT                   /db_xref="taxon:9606"
    FT   misc_feature    57..278
    FT                   /note="ubiquitin like part"
    FT   CDS             57..458
    FT                   /gene="fau"
    FT                   /db_xref="GDB:135476"
    FT                   /db_xref="GOA:P35544"
    FT                   /db_xref="GOA:P62861"
    FT                   /db_xref="HGNC:3597"
    FT                   /db_xref="UniProtKB/Swiss-Prot:P35544"
    FT                   /db_xref="UniProtKB/Swiss-Prot:P62861"
    FT                   /protein_id="CAA46716.1"
    FT                   /translation="MQLFVRAQELHTFEVTGQETVAQIKAHVASLEGIAPEDQVVLLAG
    FT                   APLEDEATLGQCGVEALTTLEVAGRMLGGKVHGSLARAGKVRGQTPKVAKQEKKKKKTG
    FT                   RAKRRMQYNRRFVNVVPTFGKKKGPNANS"
    FT   misc_feature    98..102
    FT                   /note="nucleolar localization signal"
    FT   misc_feature    279..458
    FT                   /note="S30 part"
    FT   polyA_signal    484..489
    FT   polyA_site      509
    XX
    SQ   Sequence 518 BP; 125 A; 139 C; 148 G; 106 T; 0 other;
         ttcctctttc tcgactccat cttcgcggta gctgggaccg ccgttcagtc gccaatatgc        60
         agctctttgt ccgcgcccag gagctacaca ccttcgaggt gaccggccag gaaacggtcg       120
         cccagatcaa ggctcatgta gcctcactgg agggcattgc cccggaagat caagtcgtgc       180
         tcctggcagg cgcgcccctg gaggatgagg ccactctggg ccagtgcggg gtggaggccc       240
         tgactaccct ggaagtagca ggccgcatgc ttggaggtaa agttcatggt tccctggccc       300
         gtgctggaaa agtgagaggt cagactccta aggtggccaa acaggagaag aagaagaaga       360
         agacaggtcg ggctaagcgg cggatgcagt acaaccggcg ctttgtcaac gttgtgccca       420
         cctttggcaa gaagaagggc cccaatgcca actcttaagt cttttgtaat tctggctttc       480
         tctaataaaa aagccactta gttcagtcaa aaaaaaaa                               518
    //

## Output file format

The output is a standard EMBOSS report file.

The results can be output in one of several styles by using the command-line qualifier -rformat xxx, where 'xxx' is replaced by the name of the required format. The available format names are: embl, genbank, gff, pir, swiss, trace, listfile, dbmotif, diffseq, excel, feattable, motif, regions, seqtable, simple, srs, table, tagseq

See: http://emboss.sf.net/docs/themes/ReportFormats.html for further information on report formats.

sirna outputs a report format file. The default format is 'table'

### Output files for usage example

### File: x65923.sirna

    ########################################
    # Program: sirna
    # Rundate: Sun 15 Jul 2007 12:00:00
    # Commandline: sirna
    #    -sequence tembl:x65923
    # Report_format: table
    # Report_file: x65923.sirna
    ########################################

    #=======================================
    #
    # Sequence: X65923     from: 1   to: 518
    # HitCount: 85
    #
    # CDS region found in feature table starting at 57
    #
    #=======================================

      Start     End   Score    GC% Sense_siRNA Antisense_siRNA
        308     330   9.000   50.0 AAGUGAGAGGUCAGACUCCdTdT GGAGUCUGACCUCUCACUUdTdT
        309     331   9.000   50.0 AGUGAGAGGUCAGACUCCUdTdT AGGAGUCUGACCUCUCACUdTdT
        310     332   9.000   50.0 GUGAGAGGUCAGACUCCUAdTdT UAGGAGUCUGACCUCUCACdTdT
        351     373   9.000   50.0 GAAGAAGAAGACAGGUCGGdTdT CCGACCUGUCUUCUUCUUCdTdT
        166     188   8.000   55.0 GAUCAAGUCGUGCUCCUGGdTdT CCAGGAGCACGACUUGAUCdTdT
        279     301   8.000   55.0 AGUUCAUGGUUCCCUGGCCdTdT GGCCAGGGAACCAUGAACUdTdT
        330     352   8.000   55.0 GGUGGCCAAACAGGAGAAGdTdT CUUCUCCUGUUUGGCCACCdTdT
        354     376   8.000   55.0 GAAGAAGACAGGUCGGGCUdTdT AGCCCGACCUGUCUUCUUCdTdT
        357     379   8.000   55.0 GAAGACAGGUCGGGCUAAGdTdT CUUAGCCCGACCUGUCUUCdTdT
        393     415   8.000   55.0 CCGGCGCUUUGUCAACGUUdTdT AACGUUGACAAAGCGCCGGdTdT
        253     275   7.000   60.0 GUAGCAGGCCGCAUGCUUGdTdT CAAGCAUGCGGCCUGCUACdTdT
        280     302   7.000   60.0 GUUCAUGGUUCCCUGGCCCdTdT GGGCCAGGGAACCAUGAACdTdT
        339     361   7.000   40.0 ACAGGAGAAGAAGAAGAAGdTdT CUUCUUCUUCUUCUCCUGUdTdT
        340     362   7.000   40.0 CAGGAGAAGAAGAAGAAGAdTdT UCUUCUUCUUCUUCUCCUGdTdT
        348     370   7.000   40.0 GAAGAAGAAGAAGACAGGUdTdT ACCUGUCUUCUUCUUCUUCdTdT
        375     397   7.000   60.0 GCGGCGGAUGCAGUACAACdTdT GUUGUACUGCAUCCGCCGCdTdT
        408     430   7.000   60.0 CGUUGUGCCCACCUUUGGCdTdT GCCAAAGGUGGGCACAACGdTdT
        429     451   7.000   60.0 GAAGAAGGGCCCCAAUGCCdTdT GGCAUUGGGGCCCUUCUUCdTdT
        432     454   7.000   60.0 GAAGGGCCCCAAUGCCAACdTdT GUUGGCAUUGGGGCCCUUCdTdT
        435     457   7.000   60.0 GGGCCCCAAUGCCAACUCUdTdT AGAGUUGGCAUUGGGGCCCdTdT
        488     510   7.000   40.0 AAAGCCACUUAGUUCAGUCdTdT GACUGAACUAAGUGGCUUUdTdT
        489     511   7.000   40.0 AAGCCACUUAGUUCAGUCAdTdT UGACUGAACUAAGUGGCUUdTdT
        490     512   7.000   40.0 AGCCACUUAGUUCAGUCAAdTdT UUGACUGAACUAAGUGGCUdTdT
        491     513   7.000   40.0 GCCACUUAGUUCAGUCAAAdTdT UUUGACUGAACUAAGUGGCdTdT
        129     151   6.000   55.0 GGCUCAUGUAGCCUCACUGdTdT CAGUGAGGCUACAUGAGCCdTdT
        165     187   6.000   50.0 AGAUCAAGUCGUGCUCCUGdTdT CAGGAGCACGACUUGAUCUdTdT
        278     300   6.000   50.0 AAGUUCAUGGUUCCCUGGCdTdT GCCAGGGAACCAUGAACUUdTdT
        314     336   6.000   50.0 GAGGUCAGACUCCUAAGGUdTdT ACCUUAGGAGUCUGACCUCdTdT
        321     343   6.000   50.0 GACUCCUAAGGUGGCCAAAdTdT UUUGGCCACCUUAGGAGUCdTdT
        323     345   6.000   50.0 CUCCUAAGGUGGCCAAACAdTdT UGUUUGGCCACCUUAGGAGdTdT
        329     351   6.000   50.0 AGGUGGCCAAACAGGAGAAdTdT UUCUCCUGUUUGGCCACCUdTdT

      [Part of this file has been deleted for brevity]

        353     375   5.000   55.0 AGAAGAAGACAGGUCGGGCdTdT GCCCGACCUGUCUUCUUCUdTdT
        360     382   5.000   65.0 GACAGGUCGGGCUAAGCGGdTdT CCGCUUAGCCCGACCUGUCdTdT
        374     396   5.000   55.0 AGCGGCGGAUGCAGUACAAdTdT UUGUACUGCAUCCGCCGCUdTdT
        383     405   5.000   55.0 UGCAGUACAACCGGCGCUUdTdT AAGCGCCGGUUGUACUGCAdTdT
        387     409   5.000   55.0 GUACAACCGGCGCUUUGUCdTdT GACAAAGCGCCGGUUGUACdTdT
        390     412   5.000   55.0 CAACCGGCGCUUUGUCAACdTdT GUUGACAAAGCGCCGGUUGdTdT
        392     414   5.000   55.0 ACCGGCGCUUUGUCAACGUdTdT ACGUUGACAAAGCGCCGGUdTdT
        407     429   5.000   55.0 ACGUUGUGCCCACCUUUGGdTdT CCAAAGGUGGGCACAACGUdTdT
        428     450   5.000   55.0 AGAAGAAGGGCCCCAAUGCdTdT GCAUUGGGGCCCUUCUUCUdTdT
        431     453   5.000   55.0 AGAAGGGCCCCAAUGCCAAdTdT UUGGCAUUGGGGCCCUUCUdTdT
        434     456   5.000   60.0 AGGGCCCCAAUGCCAACUCdTdT GAGUUGGCAUUGGGGCCCUdTdT
        444     466   5.000   35.0 UGCCAACUCUUAAGUCUUUdTdT AAAGACUUAAGAGUUGGCAdTdT
        487     509   5.000   35.0 AAAAGCCACUUAGUUCAGUdTdT ACUGAACUAAGUGGCUUUUdTdT
        123     145   4.000   50.0 GAUCAAGGCUCAUGUAGCCdTdT GGCUACAUGAGCCUUGAUCdTdT
        125     147   4.000   50.0 UCAAGGCUCAUGUAGCCUCdTdT GAGGCUACAUGAGCCUUGAdTdT
        128     150   4.000   50.0 AGGCUCAUGUAGCCUCACUdTdT AGUGAGGCUACAUGAGCCUdTdT
        155     177   4.000   50.0 UUGCCCCGGAAGAUCAAGUdTdT ACUUGAUCUUCCGGGGCAAdTdT
        234     256   4.000   60.0 GGCCCUGACUACCCUGGAAdTdT UUCCAGGGUAGUCAGGGCCdTdT
        259     281   4.000   60.0 GGCCGCAUGCUUGGAGGUAdTdT UACCUCCAAGCAUGCGGCCdTdT
        266     288   4.000   40.0 UGCUUGGAGGUAAAGUUCAdTdT UGAACUUUACCUCCAAGCAdTdT
        342     364   4.000   40.0 GGAGAAGAAGAAGAAGAAGdTdT CUUCUUCUUCUUCUUCUCCdTdT
        347     369   4.000   40.0 AGAAGAAGAAGAAGACAGGdTdT CCUGUCUUCUUCUUCUUCUdTdT
        359     381   4.000   60.0 AGACAGGUCGGGCUAAGCGdTdT CGCUUAGCCCGACCUGUCUdTdT
        111     133   3.000   55.0 AACGGUCGCCCAGAUCAAGdTdT CUUGAUCUGGGCGACCGUUdTdT
        113     135   3.000   65.0 CGGUCGCCCAGAUCAAGGCdTdT GCCUUGAUCUGGGCGACCGdTdT
        172     194   3.000   70.0 GUCGUGCUCCUGGCAGGCGdTdT CGCCUGCCAGGAGCACGACdTdT
        443     465   3.000   35.0 AUGCCAACUCUUAAGUCUUdTdT AAGACUUAAGAGUUGGCAUdTdT
        456     478   3.000   35.0 AGUCUUUUGUAAUUCUGGCdTdT GCCAGAAUUACAAAAGACUdTdT
        468     490   3.000   30.0 UUCUGGCUUUCUCUAAUAAdTdT UUAUUAGAGAAAGCCAGAAdTdT
        484     506   3.000   30.0 UAAAAAAGCCACUUAGUUCdTdT GAACUAAGUGGCUUUUUUAdTdT
        108     130   2.000   60.0 GGAAACGGUCGCCCAGAUCdTdT GAUCUGGGCGACCGUUUCCdTdT
        135     157   2.000   60.0 UGUAGCCUCACUGGAGGGCdTdT GCCCUCCAGUGAGGCUACAdTdT
        139     161   2.000   60.0 GCCUCACUGGAGGGCAUUGdTdT CAAUGCCCUCCAGUGAGGCdTdT
        150     172   2.000   60.0 GGGCAUUGCCCCGGAAGAUdTdT AUCUUCCGGGGCAAUGCCCdTdT
        171     193   2.000   65.0 AGUCGUGCUCCUGGCAGGCdTdT GCCUGCCAGGAGCACGACUdTdT
        201     223   2.000   65.0 GGAUGAGGCCACUCUGGGCdTdT GCCCAGAGUGGCCUCAUCCdTdT
        204     226   2.000   65.0 UGAGGCCACUCUGGGCCAGdTdT CUGGCCCAGAGUGGCCUCAdTdT
        245     267   2.000   65.0 CCCUGGAAGUAGCAGGCCGdTdT CGGCCUGCUACUUCCAGGGdTdT
        256     278   2.000   65.0 GCAGGCCGCAUGCUUGGAGdTdT CUCCAAGCAUGCGGCCUGCdTdT
        285     307   2.000   65.0 UGGUUCCCUGGCCCGUGCUdTdT AGCACGGGCCAGGGAACCAdTdT
        338     360   2.000   35.0 AACAGGAGAAGAAGAAGAAdTdT UUCUUCUUCUUCUCCUGUUdTdT
        345     367   2.000   35.0 GAAGAAGAAGAAGAAGACAdTdT UGUCUUCUUCUUCUUCUUCdTdT
        486     508   2.000   35.0 AAAAAGCCACUUAGUUCAGdTdT CUGAACUAAGUGGCUUUUUdTdT

    #---------------------------------------
    #---------------------------------------

    #---------------------------------------
    # Total_sequences: 1
    # Total_hitcount: 85
    #---------------------------------------

### File: x65923.fasta

    >X65923_308 %GC 50.0 Score 9 H.sapiens fau mRNA
    aaaagtgagaggtcagactccta
    >X65923_309 %GC 50.0 Score 9 H.sapiens fau mRNA
    aaagtgagaggtcagactcctaa
    >X65923_310 %GC 50.0 Score 9 H.sapiens fau mRNA
    aagtgagaggtcagactcctaag
    >X65923_351 %GC 50.0 Score 9 H.sapiens fau mRNA
    aagaagaagaagacaggtcgggc
    >X65923_166 %GC 55.0 Score 8 H.sapiens fau mRNA
    aagatcaagtcgtgctcctggca
    >X65923_279 %GC 55.0 Score 8 H.sapiens fau mRNA
    aaagttcatggttccctggcccg
    >X65923_330 %GC 55.0 Score 8 H.sapiens fau mRNA
    aaggtggccaaacaggagaagaa
    >X65923_354 %GC 55.0 Score 8 H.sapiens fau mRNA
    aagaagaagacaggtcgggctaa
    >X65923_357 %GC 55.0 Score 8 H.sapiens fau mRNA
    aagaagacaggtcgggctaagcg
    >X65923_393 %GC 55.0 Score 8 H.sapiens fau mRNA
    aaccggcgctttgtcaacgttgt
    >X65923_253 %GC 60.0 Score 7 H.sapiens fau mRNA
    aagtagcaggccgcatgcttgga
    >X65923_280 %GC 60.0 Score 7 H.sapiens fau mRNA
    aagttcatggttccctggcccgt
    >X65923_339 %GC 40.0 Score 7 H.sapiens fau mRNA
    aaacaggagaagaagaagaagaa
    >X65923_340 %GC 40.0 Score 7 H.sapiens fau mRNA
    aacaggagaagaagaagaagaag
    >X65923_348 %GC 40.0 Score 7 H.sapiens fau mRNA
    aagaagaagaagaagacaggtcg
    >X65923_375 %GC 60.0 Score 7 H.sapiens fau mRNA
    aagcggcggatgcagtacaaccg
    >X65923_408 %GC 60.0 Score 7 H.sapiens fau mRNA
    aacgttgtgcccacctttggcaa
    >X65923_429 %GC 60.0 Score 7 H.sapiens fau mRNA
    aagaagaagggccccaatgccaa
    >X65923_432 %GC 60.0 Score 7 H.sapiens fau mRNA
    aagaagggccccaatgccaactc
    >X65923_435 %GC 60.0 Score 7 H.sapiens fau mRNA
    aagggccccaatgccaactctta
    >X65923_488 %GC 40.0 Score 7 H.sapiens fau mRNA
    aaaaagccacttagttcagtcaa
    >X65923_489 %GC 40.0 Score 7 H.sapiens fau mRNA
    aaaagccacttagttcagtcaaa
    >X65923_490 %GC 40.0 Score 7 H.sapiens fau mRNA
    aaagccacttagttcagtcaaaa
    >X65923_491 %GC 40.0 Score 7 H.sapiens fau mRNA
    aagccacttagttcagtcaaaaa
    >X65923_129 %GC 55.0 Score 6 H.sapiens fau mRNA
    aaggctcatgtagcctcactgga

      [Part of this file has been deleted for brevity]

    gaggccctgactaccctggaagt
    >X65923_259 %GC 60.0 Score 4 H.sapiens fau mRNA
    caggccgcatgcttggaggtaaa
    >X65923_266 %GC 40.0 Score 4 H.sapiens fau mRNA
    catgcttggaggtaaagttcatg
    >X65923_342 %GC 40.0 Score 4 H.sapiens fau mRNA
    caggagaagaagaagaagaagac
    >X65923_347 %GC 40.0 Score 4 H.sapiens fau mRNA
    gaagaagaagaagaagacaggtc
    >X65923_359 %GC 60.0 Score 4 H.sapiens fau mRNA
    gaagacaggtcgggctaagcggc
    >X65923_111 %GC 55.0 Score 3 H.sapiens fau mRNA
    gaaacggtcgcccagatcaaggc
    >X65923_113 %GC 65.0 Score 3 H.sapiens fau mRNA
    aacggtcgcccagatcaaggctc
    >X65923_172 %GC 70.0 Score 3 H.sapiens fau mRNA
    aagtcgtgctcctggcaggcgcg
    >X65923_443 %GC 35.0 Score 3 H.sapiens fau mRNA
    caatgccaactcttaagtctttt
    >X65923_456 %GC 35.0 Score 3 H.sapiens fau mRNA
    taagtcttttgtaattctggctt
    >X65923_468 %GC 30.0 Score 3 H.sapiens fau mRNA
    aattctggctttctctaataaaa
    >X65923_484 %GC 30.0 Score 3 H.sapiens fau mRNA
    aataaaaaagccacttagttcag
    >X65923_108 %GC 60.0 Score 2 H.sapiens fau mRNA
    caggaaacggtcgcccagatcaa
    >X65923_135 %GC 60.0 Score 2 H.sapiens fau mRNA
    catgtagcctcactggagggcat
    >X65923_139 %GC 60.0 Score 2 H.sapiens fau mRNA
    tagcctcactggagggcattgcc
    >X65923_150 %GC 60.0 Score 2 H.sapiens fau mRNA
    gagggcattgccccggaagatca
    >X65923_171 %GC 65.0 Score 2 H.sapiens fau mRNA
    caagtcgtgctcctggcaggcgc
    >X65923_201 %GC 65.0 Score 2 H.sapiens fau mRNA
    gaggatgaggccactctgggcca
    >X65923_204 %GC 65.0 Score 2 H.sapiens fau mRNA
    gatgaggccactctgggccagtg
    >X65923_245 %GC 65.0 Score 2 H.sapiens fau mRNA
    taccctggaagtagcaggccgca
    >X65923_256 %GC 65.0 Score 2 H.sapiens fau mRNA
    tagcaggccgcatgcttggaggt
    >X65923_285 %GC 65.0 Score 2 H.sapiens fau mRNA
    catggttccctggcccgtgctgg
    >X65923_338 %GC 35.0 Score 2 H.sapiens fau mRNA
    caaacaggagaagaagaagaaga
    >X65923_345 %GC 35.0 Score 2 H.sapiens fau mRNA
    gagaagaagaagaagaagacagg
    >X65923_486 %GC 35.0 Score 2 H.sapiens fau mRNA
    taaaaaagccacttagttcagtc

### Output files for usage example 2

### File: x65923.sirna

    ########################################
    # Program: sirna
    # Rundate: Sun 15 Jul 2007 12:00:00
    # Commandline: sirna
    #    -context
    #    -sequence tembl:x65923
    # Report_format: table
    # Report_file: x65923.sirna
    ########################################

    #=======================================
    #
    # Sequence: X65923     from: 1   to: 518
    # HitCount: 85
    #
    # The forward sense sequence shows the first 2 bases of
    # the 23 base region in brackets, this should be ignored
    # when ordering siRNA probes.
    # CDS region found in feature table starting at 57
    #
    #=======================================

      Start     End   Score    GC% Sense_siRNA Antisense_siRNA
        308     330   9.000   50.0 (AA)AAGUGAGAGGUCAGACUCCdTdT GGAGUCUGACCUCUCACUUdTdT
        309     331   9.000   50.0 (AA)AGUGAGAGGUCAGACUCCUdTdT AGGAGUCUGACCUCUCACUdTdT
        310     332   9.000   50.0 (AA)GUGAGAGGUCAGACUCCUAdTdT UAGGAGUCUGACCUCUCACdTdT
        351     373   9.000   50.0 (AA)GAAGAAGAAGACAGGUCGGdTdT CCGACCUGUCUUCUUCUUCdTdT
        166     188   8.000   55.0 (AA)GAUCAAGUCGUGCUCCUGGdTdT CCAGGAGCACGACUUGAUCdTdT
        279     301   8.000   55.0 (AA)AGUUCAUGGUUCCCUGGCCdTdT GGCCAGGGAACCAUGAACUdTdT
        330     352   8.000   55.0 (AA)GGUGGCCAAACAGGAGAAGdTdT CUUCUCCUGUUUGGCCACCdTdT
        354     376   8.000   55.0 (AA)GAAGAAGACAGGUCGGGCUdTdT AGCCCGACCUGUCUUCUUCdTdT
        357     379   8.000   55.0 (AA)GAAGACAGGUCGGGCUAAGdTdT CUUAGCCCGACCUGUCUUCdTdT
        393     415   8.000   55.0 (AA)CCGGCGCUUUGUCAACGUUdTdT AACGUUGACAAAGCGCCGGdTdT
        253     275   7.000   60.0 (AA)GUAGCAGGCCGCAUGCUUGdTdT CAAGCAUGCGGCCUGCUACdTdT
        280     302   7.000   60.0 (AA)GUUCAUGGUUCCCUGGCCCdTdT GGGCCAGGGAACCAUGAACdTdT
        339     361   7.000   40.0 (AA)ACAGGAGAAGAAGAAGAAGdTdT CUUCUUCUUCUUCUCCUGUdTdT
        340     362   7.000   40.0 (AA)CAGGAGAAGAAGAAGAAGAdTdT UCUUCUUCUUCUUCUCCUGdTdT
        348     370   7.000   40.0 (AA)GAAGAAGAAGAAGACAGGUdTdT ACCUGUCUUCUUCUUCUUCdTdT
        375     397   7.000   60.0 (AA)GCGGCGGAUGCAGUACAACdTdT GUUGUACUGCAUCCGCCGCdTdT
        408     430   7.000   60.0 (AA)CGUUGUGCCCACCUUUGGCdTdT GCCAAAGGUGGGCACAACGdTdT
        429     451   7.000   60.0 (AA)GAAGAAGGGCCCCAAUGCCdTdT GGCAUUGGGGCCCUUCUUCdTdT
        432     454   7.000   60.0 (AA)GAAGGGCCCCAAUGCCAACdTdT GUUGGCAUUGGGGCCCUUCdTdT
        435     457   7.000   60.0 (AA)GGGCCCCAAUGCCAACUCUdTdT AGAGUUGGCAUUGGGGCCCdTdT
        488     510   7.000   40.0 (AA)AAAGCCACUUAGUUCAGUCdTdT GACUGAACUAAGUGGCUUUdTdT
        489     511   7.000   40.0 (AA)AAGCCACUUAGUUCAGUCAdTdT UGACUGAACUAAGUGGCUUdTdT
        490     512   7.000   40.0 (AA)AGCCACUUAGUUCAGUCAAdTdT UUGACUGAACUAAGUGGCUdTdT
        491     513   7.000   40.0 (AA)GCCACUUAGUUCAGUCAAAdTdT UUUGACUGAACUAAGUGGCdTdT
        129     151   6.000   55.0 (AA)GGCUCAUGUAGCCUCACUGdTdT CAGUGAGGCUACAUGAGCCdTdT
        165     187   6.000   50.0 (GA)AGAUCAAGUCGUGCUCCUGdTdT CAGGAGCACGACUUGAUCUdTdT
        278     300   6.000   50.0 (UA)AAGUUCAUGGUUCCCUGGCdTdT GCCAGGGAACCAUGAACUUdTdT

      [Part of this file has been deleted for brevity]

        353     375   5.000   55.0 (GA)AGAAGAAGACAGGUCGGGCdTdT GCCCGACCUGUCUUCUUCUdTdT
        360     382   5.000   65.0 (AA)GACAGGUCGGGCUAAGCGGdTdT CCGCUUAGCCCGACCUGUCdTdT
        374     396   5.000   55.0 (UA)AGCGGCGGAUGCAGUACAAdTdT UUGUACUGCAUCCGCCGCUdTdT
        383     405   5.000   55.0 (GA)UGCAGUACAACCGGCGCUUdTdT AAGCGCCGGUUGUACUGCAdTdT
        387     409   5.000   55.0 (CA)GUACAACCGGCGCUUUGUCdTdT GACAAAGCGCCGGUUGUACdTdT
        390     412   5.000   55.0 (UA)CAACCGGCGCUUUGUCAACdTdT GUUGACAAAGCGCCGGUUGdTdT
        392     414   5.000   55.0 (CA)ACCGGCGCUUUGUCAACGUdTdT ACGUUGACAAAGCGCCGGUdTdT
        407     429   5.000   55.0 (CA)ACGUUGUGCCCACCUUUGGdTdT CCAAAGGUGGGCACAACGUdTdT
        428     450   5.000   55.0 (CA)AGAAGAAGGGCCCCAAUGCdTdT GCAUUGGGGCCCUUCUUCUdTdT
        431     453   5.000   55.0 (GA)AGAAGGGCCCCAAUGCCAAdTdT UUGGCAUUGGGGCCCUUCUdTdT
        434     456   5.000   60.0 (GA)AGGGCCCCAAUGCCAACUCdTdT GAGUUGGCAUUGGGGCCCUdTdT
        444     466   5.000   35.0 (AA)UGCCAACUCUUAAGUCUUUdTdT AAAGACUUAAGAGUUGGCAdTdT
        487     509   5.000   35.0 (AA)AAAAGCCACUUAGUUCAGUdTdT ACUGAACUAAGUGGCUUUUdTdT
        123     145   4.000   50.0 (CA)GAUCAAGGCUCAUGUAGCCdTdT GGCUACAUGAGCCUUGAUCdTdT
        125     147   4.000   50.0 (GA)UCAAGGCUCAUGUAGCCUCdTdT GAGGCUACAUGAGCCUUGAdTdT
        128     150   4.000   50.0 (CA)AGGCUCAUGUAGCCUCACUdTdT AGUGAGGCUACAUGAGCCUdTdT
        155     177   4.000   50.0 (CA)UUGCCCCGGAAGAUCAAGUdTdT ACUUGAUCUUCCGGGGCAAdTdT
        234     256   4.000   60.0 (GA)GGCCCUGACUACCCUGGAAdTdT UUCCAGGGUAGUCAGGGCCdTdT
        259     281   4.000   60.0 (CA)GGCCGCAUGCUUGGAGGUAdTdT UACCUCCAAGCAUGCGGCCdTdT
        266     288   4.000   40.0 (CA)UGCUUGGAGGUAAAGUUCAdTdT UGAACUUUACCUCCAAGCAdTdT
        342     364   4.000   40.0 (CA)GGAGAAGAAGAAGAAGAAGdTdT CUUCUUCUUCUUCUUCUCCdTdT
        347     369   4.000   40.0 (GA)AGAAGAAGAAGAAGACAGGdTdT CCUGUCUUCUUCUUCUUCUdTdT
        359     381   4.000   60.0 (GA)AGACAGGUCGGGCUAAGCGdTdT CGCUUAGCCCGACCUGUCUdTdT
        111     133   3.000   55.0 (GA)AACGGUCGCCCAGAUCAAGdTdT CUUGAUCUGGGCGACCGUUdTdT
        113     135   3.000   65.0 (AA)CGGUCGCCCAGAUCAAGGCdTdT GCCUUGAUCUGGGCGACCGdTdT
        172     194   3.000   70.0 (AA)GUCGUGCUCCUGGCAGGCGdTdT CGCCUGCCAGGAGCACGACdTdT
        443     465   3.000   35.0 (CA)AUGCCAACUCUUAAGUCUUdTdT AAGACUUAAGAGUUGGCAUdTdT
        456     478   3.000   35.0 (UA)AGUCUUUUGUAAUUCUGGCdTdT GCCAGAAUUACAAAAGACUdTdT
        468     490   3.000   30.0 (AA)UUCUGGCUUUCUCUAAUAAdTdT UUAUUAGAGAAAGCCAGAAdTdT
        484     506   3.000   30.0 (AA)UAAAAAAGCCACUUAGUUCdTdT GAACUAAGUGGCUUUUUUAdTdT
        108     130   2.000   60.0 (CA)GGAAACGGUCGCCCAGAUCdTdT GAUCUGGGCGACCGUUUCCdTdT
        135     157   2.000   60.0 (CA)UGUAGCCUCACUGGAGGGCdTdT GCCCUCCAGUGAGGCUACAdTdT
        139     161   2.000   60.0 (UA)GCCUCACUGGAGGGCAUUGdTdT CAAUGCCCUCCAGUGAGGCdTdT
        150     172   2.000   60.0 (GA)GGGCAUUGCCCCGGAAGAUdTdT AUCUUCCGGGGCAAUGCCCdTdT
        171     193   2.000   65.0 (CA)AGUCGUGCUCCUGGCAGGCdTdT GCCUGCCAGGAGCACGACUdTdT
        201     223   2.000   65.0 (GA)GGAUGAGGCCACUCUGGGCdTdT GCCCAGAGUGGCCUCAUCCdTdT
        204     226   2.000   65.0 (GA)UGAGGCCACUCUGGGCCAGdTdT CUGGCCCAGAGUGGCCUCAdTdT
        245     267   2.000   65.0 (UA)CCCUGGAAGUAGCAGGCCGdTdT CGGCCUGCUACUUCCAGGGdTdT
        256     278   2.000   65.0 (UA)GCAGGCCGCAUGCUUGGAGdTdT CUCCAAGCAUGCGGCCUGCdTdT
        285     307   2.000   65.0 (CA)UGGUUCCCUGGCCCGUGCUdTdT AGCACGGGCCAGGGAACCAdTdT
        338     360   2.000   35.0 (CA)AACAGGAGAAGAAGAAGAAdTdT UUCUUCUUCUUCUCCUGUUdTdT
        345     367   2.000   35.0 (GA)GAAGAAGAAGAAGAAGACAdTdT UGUCUUCUUCUUCUUCUUCdTdT
        486     508   2.000   35.0 (UA)AAAAAGCCACUUAGUUCAGdTdT CUGAACUAAGUGGCUUUUUdTdT

    #---------------------------------------
    #---------------------------------------

    #---------------------------------------
    # Total_sequences: 1
    # Total_hitcount: 85
    #---------------------------------------

The siRNAs are reported in order of best score first.

sirna reports both the sense and antisense siRNAs as 5' to 3'.

## Data files

None.

## Notes

None.

## References

1. Elbashir, S. M., et al. (2001a). Duplexes of 21-nucleotide RNAs mediate RNA interference in mammalian cell culture. Nature 411: 494-498.
2. Elbashir, S. M., W. Lendeckel and T. Tuschl (2001b). RNA interference is mediated by 21 and 22 nt RNAs. Genes & Dev. 15: 188-200.

## Warnings

It is assumed that the input sequence is mRNA.

## Diagnostic Error Messages

None.

## Exit status

It always exits with status 0.

## Known bugs

None.

## See also

Program name | Description
--- | ---
banana | Bending and curvature plot in B-DNA
btwisted | Calculates the twisting in a B-DNA sequence
chaos | Create a chaos game representation plot for a sequence
compseq | Count composition of dimer/trimer/etc words in a sequence
dan | Calculates DNA RNA/DNA melting temperature
freak | Residue/base frequency table or plot
isochore | Plots isochores in large DNA sequences
wordcount | Counts words of a specified size in a DNA sequence

## Author(s)

Gary Williams (gwilliam © rfcgr.mrc.ac.uk)
MRC Rosalind Franklin Centre for Genomics Research Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SB, UK

## History

Written (November 2002) - Gary Williams.

## Target users

This program is intended to be used by everyone and everything, from naive users to embedded scripts.

## Comments

None