As it turns out, to answer most of my earlier question,

http://www.mail-archive.com/[email protected]/msg00026.html

the exon locations are reasonably well described at NCBI following the links 
contained here,

http://genomebiology.com/2006/7/1/R2

( or here, I can't get figures to render at above link, 
     http://www.pubmedcentral.nih.gov/picrender.fcgi?artid=1431710&blobtype=pdf 
   )

Variable window binding for mutually exclusive alternative splicing
Dimitris Anastassiou , Hairuo Liu  and Vinay Varadan 
Center for Computational Biology and Bioinformatics, and Department of 
Electrical Engineering, Columbia University, New York, NY 07670, USA
 author email corresponding author email
Genome Biology 2006, 7:R2doi:10.1186/gb-2006-7-1-r2

"Because the Dscam gene of four out of the six Drosophila spp. had not 
previously been annotated [11], we first generated the missing annotations for 
all exons of cluster 6 using the existing annotations as benchmarks and 
ensuring that exons are located in open reading frames. The resulting annotated 
sequences for D. yakuba, D. ananassae, D. mojavensis and D. pseudoobscura have 
been deposited in GenBank under accession numbers DQ317106, DQ317107, DQ317108 
and DQ317109, respectively. These can be accessed in addition to the previously 
available annotated sequences for D. melanogaster (accession number AF260530) 
and D. virilis (accession number AY686597)."

for mealnogaster, this would be here

http://www.ncbi.nlm.nih.gov/entrez/viewer.fcgi?db=nuccore&id=8072216

Not sure how I missed this earlier but, anyway DSCAM does seem like a good test 
case and example to follow for splicing literature.

And I was able to verify that I can use my reverse-complement and rule code to 
find the patterns
previously reported by the authors. I'm still trying to determine what, if any, 
significance there may be to
the pattern I mentioned earlier.  I did some surveys on random genome segments 
and it does come
up pretty often but it doesn't seem to be completed excluded from DSCAM exon 
clusters.


Mike Marchywka
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