Announcement

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

  • Tophat and deep coverage question

    I have been doing RNA-seq experiments and noticed an unusual out put of Tophat; I used two datastes of PE X50 reads for human. Top one is deep sequence of around 250 million reads while the bottom is regular 25 million reads. If you notice in the top fig there are number of reads which align to human genome but are not corresponding to exons/transcripts. While the low coverage (bottom) provide an excellent robust alignments to transcripts perfectly corresponding to cuff Ids ( refer to Fig).
    The questions is how to explain the area where there are lot of reads not corresponding to transcripts/exons (marked with black arrow). I sis that TopHat cannot handle such deep coverage or it is noise? Any feedback is appreciate.
    Thanks
    Attached Files

  • #2
    It's hard to know what is going on without more information, but it probably has nothing to do with Tophat. For example, it could be genomic DNA contamination or it could be real and indicate retained introns, erroneous transcripts, unspliced RNA, a microRNA, etc. Many of these things might not be that well represented in a sample, so you would need deep coverage to see them.

    Comment


    • #3
      details

      I can share all the details what you need. Please advise what information may be helpful. I can send an email to you if you agree.

      Thanks.

      Comment

      Latest Articles

      Collapse

      • seqadmin
        Advanced Tools Transforming the Field of Cytogenomics
        by seqadmin


        At the intersection of cytogenetics and genomics lies the exciting field of cytogenomics. It focuses on studying chromosomes at a molecular scale, involving techniques that analyze either the whole genome or particular DNA sequences to examine variations in structure and behavior at the chromosomal or subchromosomal level. By integrating cytogenetic techniques with genomic analysis, researchers can effectively investigate chromosomal abnormalities related to diseases, particularly...
        09-26-2023, 06:26 AM
      • seqadmin
        How RNA-Seq is Transforming Cancer Studies
        by seqadmin



        Cancer research has been transformed through numerous molecular techniques, with RNA sequencing (RNA-seq) playing a crucial role in understanding the complexity of the disease. Maša Ivin, Ph.D., Scientific Writer at Lexogen, and Yvonne Goepel Ph.D., Product Manager at Lexogen, remarked that “The high-throughput nature of RNA-seq allows for rapid profiling and deep exploration of the transcriptome.” They emphasized its indispensable role in cancer research, aiding in biomarker...
        09-07-2023, 11:15 PM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by seqadmin, Today, 07:14 AM
      0 responses
      9 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 09-29-2023, 09:38 AM
      0 responses
      13 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 09-27-2023, 06:57 AM
      0 responses
      13 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 09-26-2023, 07:53 AM
      0 responses
      31 views
      0 likes
      Last Post seqadmin  
      Working...
      X