Hello Hao Wu,

Your data sound interesting and we would be happy to include them on our 
Custom Track page here:
http://genome.ucsc.edu/goldenPath/customTracks/custTracks.html

Here is the process for inclusion on that page:

1. Generate Custom Tracks using the most appropriate data format 
following these guidelines (including the "track" lines, "description" 
lines, and data):
http://genome.ucsc.edu/goldenPath/help/customTrack.html

2. Upload the Custom Tracks to a web accessible server at your institution.

3. Write a short paragraph describing your data. Include a link to your 
manuscript (if any).

4. Send the paragraph and URL of the location of the Custom Tracks to me 
and I will post the whole thing on the Custom Tracks page.

We do not provide engineering or quality assurance support for the 
tracks on the Custom Tracks page.

Regards,

----------
Ann Zweig
Project Manager, UCSC Genome Browser
http://genome.ucsc.edu



On 1/20/11 8:35 AM, Wu, Hao wrote:
> Hello,
>
> We have developed a new Hidden Markov Model based method to look for CpG 
> island (CGI) from DNA sequences. The existing definition of CGI (CG%>50%, 
> O/E>0.6) was mainly derived from looking at promoters of known human genes.  
> They might not work properly with newly discovered genomic marks (such as 
> methylation regions) or other species with different nucleotide compositions. 
> In our method the definition of CGI is totally data-driven, so that different 
> species will have different cutoffs. Based on our experience the CGIs derived 
> from our method have better overlaps with differentially methylated regions 
> (DMRs) in human and mouse.
>
> We currently have CGIs for following species: human (hg19 and hg18), mouse 
> (mm9 and mm8), rat (rn4), chimp (panTro2), rhesus (rheMac2), orangutan 
> (ponAbe2), cow (bosTau4), dog (canFam2), horse (equCab2), chicken (galGal3), 
> zebrafish (danRer6), bee (apiMel2), fly (dm3), worm (ce2) and Arabidopsis. 
> I’m wondering whether UCSC genome browser will be interested to add them as 
> new tracks. If so please let me know how to proceed.
>
> Thank you very much.
>
> Best Regards,
> Hao Wu
>
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