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

    • SEQadmin2
      Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
      by SEQadmin2


      Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

      The systematic characterization of the human proteome has
      ...
      Today, 11:48 AM
    • SEQadmin2
      Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
      by SEQadmin2



      Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
      ...
      07-09-2026, 11:10 AM
    • SEQadmin2
      Cancer Drug Resistance: The Lingering Barrier to Rising Survival
      by SEQadmin2



      Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

      There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
      07-08-2026, 05:17 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, Today, 11:10 AM
    0 responses
    8 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-13-2026, 10:26 AM
    0 responses
    30 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-09-2026, 10:04 AM
    0 responses
    39 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-08-2026, 10:08 AM
    0 responses
    25 views
    0 reactions
    Last Post SEQadmin2  
    Working...