It's a probable answer, it is the same as my comment.
If I were you I would look at this scheme and a paper:
A schematic view:
here authors determine donor and acceptor sites:
http://www.imgt.org/IMGTeducation/Aide-memoire/_UK/splicing/
Relatively old classical paper url is below:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC113136/
"It is possible that the only GT-AG, GC-AG and AT-AC pairs
can recruit the splicing machinery effectively and the other
non-canonical pairs could function exclusively in association
with a canonical pair, which shares its properties with the neighbour,
as some kind of parasitic splice sites". This is a conclusion from the paper
mentioned above.
I've found a webserver, and it looks much younger then the paper mentioned above:
http://www.ncbi.nlm.nih.gov/pubmed/19429896
SROOGLE: webserver for integrative, user-friendly visualization of splicing signals.
You can use it.
I've found a very recent paper from 2015,
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4675715/
its authors also suggest some tools, so you have a choice what to try.
I have not noticed the following post, so you can also use well-known prediction tools,
like Augustus or FGenesh. Urls for them are within the post below.
Gene Prediction
Good luck!
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If I were you I would look at this scheme and a paper:
A schematic view:
here authors determine donor and acceptor sites:
http://www.imgt.org/IMGTeducation/Aide-memoire/_UK/splicing/
Relatively old classical paper url is below:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC113136/
"It is possible that the only GT-AG, GC-AG and AT-AC pairs
can recruit the splicing machinery effectively and the other
non-canonical pairs could function exclusively in association
with a canonical pair, which shares its properties with the neighbour,
as some kind of parasitic splice sites". This is a conclusion from the paper
mentioned above.
I've found a webserver, and it looks much younger then the paper mentioned above:
http://www.ncbi.nlm.nih.gov/pubmed/19429896
SROOGLE: webserver for integrative, user-friendly visualization of splicing signals.
You can use it.
I've found a very recent paper from 2015,
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4675715/
its authors also suggest some tools, so you have a choice what to try.
I have not noticed the following post, so you can also use well-known prediction tools,
like Augustus or FGenesh. Urls for them are within the post below.
Gene Prediction
Good luck!