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  • joethar
    Junior Member
    • May 2013
    • 1

    #1

    Tophat fusion result.html dashes and duplicates

    Hello,

    I believe I have successfully run tophat fusion on single end RNA-seq data. In the results.html file, I noticed that several of the fusion alignments contain dashes in the sequence. What do these dashes signify?

    Also, I noticed in my results (and the tophat fusion results example) that while there are few if any duplicate sequences for sequences not spanning a fusion (left or right), many of the sequences mapping across the fusion are duplicated (exactly the same sequence), sometimes as many as 6 times. These multiple copies seem to be counted in the number of spanning reads summary at the top of the file. What is the origin of these repeats? Should they be ignored (only considered as a single read)?

    Thank you for the help!
  • kokonech
    Curious Character
    • Sep 2010
    • 13

    #2
    Hi!

    I believe I have successfully run tophat fusion on single end RNA-seq data. In the results.html file, I noticed that several of the fusion alignments contain dashes in the sequence. What do these dashes signify?
    Well, as far as I know, usually dashes are used in sequence alignment visualization to represent gaps.

    Also, I noticed in my results (and the tophat fusion results example) that while there are few if any duplicate sequences for sequences not spanning a fusion (left or right), many of the sequences mapping across the fusion are duplicated (exactly the same sequence), sometimes as many as 6 times. These multiple copies seem to be counted in the number of spanning reads summary at the top of the file. What is the origin of these repeats? Should they be ignored (only considered as a single read)?
    One explanation for the repeating sequences is that the transcript is higlhly expressed. The number of reads in RNA-seq correspond to the expression level, and since the fragmentation is not always uniform or epxression is very high this may result in identical or highly similar reads.
    Other explanations include: sequencing biases and errors, like for example hexamer specificity, or mappability issues.

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