Hello Mira, The best suggestion is to use the Affymetrix Tools designed to work with this type of data. From a brief look at the documentation, BED format is one of the data output types available from the Tiling Analysis Software (TAS).
http://www.affymetrix.com/partners_programs/programs/developer/tools/affytools.affx?hightlight=true&rootCategoryId= The UCSC Genome Browser project is not associated with this software, so we cannot offer technical help until after the initial transformation to positional format. Once your data is in positional format (meaning = with genome coordinates), then there are several format options for viewing the data as a custom track in our browser. Custom tracks can even be loaded into the Table browser and transformed to different data types. Here are some links to help at that stage in your analysis: Data graphing on the UCSC Browser: http://genomewiki.ucsc.edu/index.php/Selecting_a_graphing_track_data_format Custom tracks: http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html#CustomTracks Pre-compiled Utilities (for line-command use): http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/ Table browser (be sure to look at the User Guide): http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html#TableBrowser We apologize for not having more to offer concerning the CEL data. Later on, if you have any questions about UCSC's tools or data, please feel free to send an inquiry to the genome mailing list again, Thank you, Jennifer --------------------------------- Jennifer Jackson UCSC Genome Informatics Group http://genome.ucsc.edu/ On 3/28/10 2:37 AM, mira bosso wrote: > my question is > > i need to convert my Affymetrix SNP 6.0 " cell intensity files" to Bed files > > this type of file is not listed on your browser > > Can it be made available? > > if not..can you please recommend for me some other online converting programs > that can do that > > Thank you for your support > > Regards, > Mira Ali Bosso > PhD candidate\Pathology department > Faculty of Medicine > Kuwait University > e-mail: [email protected] > phone # : +965-99500197 > > > > > _______________________________________________ > Genome maillist - [email protected] > https://lists.soe.ucsc.edu/mailman/listinfo/genome _______________________________________________ Genome maillist - [email protected] https://lists.soe.ucsc.edu/mailman/listinfo/genome
