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  • repeat sequences/large files in galaxy

    does anyone know a good way to analyze the repeat sequences, ie, those that don't align using eland in illumina pipleine? I think that there are some interesting biological aspects to the sequences that are not unique in my dataset and would like to learn about them.
    I'll throw out there what I have in mind, I'd like to upload the export.txt file to galaxy, and then group and count the most common sequence tags in the export file, then blat/blast search the most common tags to see what they are (ie, satellite, line, sine, etc.) My other problem is that I am unable to upload the export.txt file to galaxy. I assume it must be compressed, does anyone know anything about an upper size limit to file size? Or the best way to compress? Or any other suggestions for dealing w/ the repeat sequences?
    thanks, keith.

  • #2
    This may be useful:

    Genomics. 2010 Nov;96(5):316-21. Epub 2010 Aug 13.
    Pokrzywa R, Polanski A.; BWtrs: A tool for searching for tandem repeats in DNA sequences based on the Burrows-Wheeler transform.
    Tomasz Stokowy
    www.sequencing.io.gliwice.pl

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    • #3
      Identifying repeat elements

      Were you ever able to find a fast, efficient method of analyzing large amounts of data? I have 15 million sequence and I would like to know what percentage of them are satellite DNA, LINEs, SINEs, etc. I have been trying to use repeatmasker but it is unbearably slow.

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