Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • joethar
    Junior Member
    • May 2013
    • 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.

    Comment

    Latest Articles

    Collapse

    • GATTACAT
      Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
      by GATTACAT
      Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
      07-01-2026, 11:43 AM
    • SEQadmin2
      Nine Things a Sample Prep Scientist Thinks About Before Sequencing
      by SEQadmin2


      I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

      Here are nine questions we think about, in roughly the order they matter, before...
      06-18-2026, 07:11 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, 07-02-2026, 11:08 AM
    0 responses
    10 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-30-2026, 05:37 AM
    0 responses
    13 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-26-2026, 11:10 AM
    0 responses
    20 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-17-2026, 06:09 AM
    0 responses
    54 views
    0 reactions
    Last Post SEQadmin2  
    Working...