I just browsed into this message, but I wonder if galaxy users who make this request are aware of the MEME/MAST and other related motif-searching tools.  They may not be exactly what's being requested of Galaxy but they could be useful.

On Tue, Nov 3, 2009 at 9:27 AM, Anton Nekrutenko <anton@bx.psu.edu> wrote:
Dear Stuart:

Unfortunately there are no currently tools for actually producing
multiple alignments, yet it is being requested more and more. I have
created a ticket for this issue (http://bitbucket.org/galaxy/galaxy-central/issue/218/multiple-alignemnts
), so you can follow its status.

Thanks,

anton




On Nov 2, 2009, at 1:41 PM, Brown, Stuart wrote:

>
> I am trying to come up with a nice workflow/tutorial for the use of
> Galaxy to search for Transcription Factor binding sites on a genome
> wide scale using pattern search tools.  I want to train my students
> to think genomically and to use clever tools to leverage their
> abilities.
>
> Galaxy is absolutely awesome for grabbing the upstream promoter
> regions for all genes from any organism with a whole genome in UCSC.
> It is also possible to use the integrated EMBOSS tools such as
> fuzznuc and dreg to search for a known TFBS (or any other simple
> nucleotide pattern). However, I can't get past the simple search
> into a more clever infomation-based search. In particular I have the
> following workflow in mind:
>
>
> 1.  Collect upstream regions for all mouse (or human) genes
> 2.  Search for a published TF binding site with a single base
> mismatch using FUZZNUC
> 3.  Make a multiple alignment of the sequences returned by FUZZNUC
> (not possible in any way that I have been able to find)
> 4.  Make a logo from the alignment to identify informative positions
> and conserved substitutions (not in Galaxy)
> 5.  Make a PSSM profile, HMM profile, or other smart searching tool
> from the aligned sequences (not in Galaxy)
> 6.  Search the upstream regions again with this more sensitive
> pattern search method. (not in Galaxy).
> 7.  Make a list of genes targeted with this TFBS,
> 8.  Compare list of genes to microarray data showing co-regulation
> of this gene set, or to pathways
>
> I am frustrated at step 3. Even if I bring the FUZZNUC results to my
> desktop, there is no easy way to extract just sequences and make a
> multiple alignment.  Many of the 'allowed' Fuzznuc optional output
> formats produce an error, or no useable output.
>
> Thanks for any suggestions.
>
> Stuart M. Brown, Ph.D.
> Associate Professor
> Center for Health Informatics and Bioinformatics
> NYU School of Medicine
> 550 First Ave, NY, NY 10016
> stuart.brown@med.nyu.edu
> (212)263-7689   FAX (212) 263-8139
>
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Anton Nekrutenko
http://nekrut.bx.psu.edu
http://galaxyproject.org

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