Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • vivienne_lovely
    Member
    • Oct 2011
    • 20

    #1

    The low mapping rate

    Hi all,
    I just got some RNA-seq data and mapped them to hg19 by tophat, the RNA enrichment was based on RiboMinus rRNA depletion,
    but the mapping rate is just 41%. How to explain this? What should I do with those unmapped reads next? I am really new in this field, would you please help me? Any reply will be appreciate.
    Vivienne
    Last edited by vivienne_lovely; 05-16-2013, 12:34 AM. Reason: add some information
  • emolinari
    Member
    • May 2013
    • 47

    #2
    Hi Vivienne,

    I am experiencing the same issue. I have BLASTed my unmapped reads and I can clearly see that there is a lot of rRNA contamination.
    You can try to do the same, I have realized that is quite common in ribo depleted samples!
    Manu

    Comment

    • Wallysb01
      Senior Member
      • Feb 2011
      • 286

      #3
      Ribodepleted RNAseq still have substantial rRNA, its just a lot less than without it. Anyway, that shouldn't effect the mappability for the reads.

      Vivienne, have you run fastqc or fastx quality stats on your reads to try to see what might be going on with the reads themselves? They might not be mapping due to low quality, base pair biases, or adapter contamination. In some cases trimming could help the mappability.

      Also, from what kind of sample did you do an RNA extraction? Is it possible there is a lot of microbial RNA being sequenced?

      Comment

      • vivienne_lovely
        Member
        • Oct 2011
        • 20

        #4
        Manu, thank you very much. I will try to BLASTed my unmapped reads.

        Comment

        • vivienne_lovely
          Member
          • Oct 2011
          • 20

          #5
          Originally posted by emolinari View Post
          Hi Vivienne,

          I am experiencing the same issue. I have BLASTed my unmapped reads and I can clearly see that there is a lot of rRNA contamination.
          You can try to do the same, I have realized that is quite common in ribo depleted samples!
          Manu
          Thank you, Manu, I wil try to BLASTed my unmapped reads.

          Comment

          • vivienne_lovely
            Member
            • Oct 2011
            • 20

            #6
            Originally posted by Wallysb01 View Post
            Ribodepleted RNAseq still have substantial rRNA, its just a lot less than without it. Anyway, that shouldn't effect the mappability for the reads.

            Vivienne, have you run fastqc or fastx quality stats on your reads to try to see what might be going on with the reads themselves? They might not be mapping due to low quality, base pair biases, or adapter contamination. In some cases trimming could help the mappability.

            Also, from what kind of sample did you do an RNA extraction? Is it possible there is a lot of microbial RNA being sequenced?
            Hi, Wallysb01
            I already run the fastqc, and I also filtered the low quality reads and trimmed adapter contaminations. But I did not pay attention to the microbial RNA. Thank you for your reply, it really helps a lot.
            Vivienne

            Comment

            • snetmcom
              Senior Member
              • Oct 2008
              • 159

              #7
              Have you taken the unaligned reads and try to map them?

              Comment

              • dstorey
                Junior Member
                • Feb 2013
                • 5

                #8
                It also matters how closely related your sample is to a reference genome and the settings you used for mapping.

                Comment

                Latest Articles

                Collapse

                • kinpict.com
                  Reply to 16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
                  by kinpict.com
                  The part about this topic feels surprisingly grounded, and the details on the page is the bit that made me slow down. I’d keep <a href="https://kinpict.com/">ai family photo generator</a> bookmarked for later.
                  Today, 06:37 PM
                • SEQadmin2
                  16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
                  by SEQadmin2





                  NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification,...
                  10-30-2026, 06:46 AM

                ad_right_rmr

                Collapse

                News

                Collapse

                Topics Statistics Last Post
                Started by SEQadmin2, 11-12-2026, 07:59 AM
                0 responses
                27 views
                0 reactions
                Last Post SEQadmin2  
                Started by SEQadmin2, 11-05-2026, 09:25 AM
                0 responses
                35 views
                0 reactions
                Last Post SEQadmin2  
                Started by SEQadmin2, 11-03-2026, 11:54 AM
                2 responses
                56 views
                0 reactions
                Last Post kinpict.com  
                Started by SEQadmin2, 10-28-2026, 09:57 AM
                0 responses
                175 views
                0 reactions
                Last Post SEQadmin2  
                Working...