Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • guzhi100
    Member
    • Feb 2012
    • 15

    Tophat paired end read

    Hi,
    I am analyzing RNA-Seq data from one published paper.

    Illumina Hiseq 2000 paired end reads. each end read is 101 bp.

    I picked up one pair of reads to check the inner distance (required for Tophat) between these two reads, and found out that these two reads are actually much overlapped.

    Then I realized that the size of the selected frangments might be around 133bp, which is why these two paired end reads have overlapping.

    In this case, what should we type in for the inner distance between reads when using Tophat? "0" ?

    hope you understand my question. Looking forward to hearing from you.
  • glados
    Member
    • Mar 2012
    • 59

    #2
    The mean inner distance will be your mean insert size - the length of your two reads. Or if you instead have the length of your size selected fragments it will be fragment size - 2 * read length - adaptor lengths.

    I suggest you map your paired end reads to the transcriptome with a non splice aligner, like bwa or bowtie. Then calculate the mean insert size with the help of picard tools. Subtract the reads and you have your inner distance. If the reads are overlapping then your inner distance will be negative.

    Comment

    Latest Articles

    Collapse

    • 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...
      Yesterday, 05:17 AM
    • 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, Yesterday, 10:08 AM
    0 responses
    6 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-07-2026, 11:05 AM
    0 responses
    8 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-02-2026, 11:08 AM
    0 responses
    31 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-30-2026, 05:37 AM
    0 responses
    29 views
    0 reactions
    Last Post SEQadmin2  
    Working...