Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • 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

  • #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


    • #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


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

        Comment


        • #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


          • #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


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

              Comment


              • #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

                • seqadmin
                  Essential Discoveries and Tools in Epitranscriptomics
                  by seqadmin




                  The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
                  04-22-2024, 07:01 AM
                • seqadmin
                  Current Approaches to Protein Sequencing
                  by seqadmin


                  Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
                  04-04-2024, 04:25 PM

                ad_right_rmr

                Collapse

                News

                Collapse

                Topics Statistics Last Post
                Started by seqadmin, 04-11-2024, 12:08 PM
                0 responses
                59 views
                0 likes
                Last Post seqadmin  
                Started by seqadmin, 04-10-2024, 10:19 PM
                0 responses
                57 views
                0 likes
                Last Post seqadmin  
                Started by seqadmin, 04-10-2024, 09:21 AM
                0 responses
                51 views
                0 likes
                Last Post seqadmin  
                Started by seqadmin, 04-04-2024, 09:00 AM
                0 responses
                55 views
                0 likes
                Last Post seqadmin  
                Working...
                X