Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • tophat/cufflinks bam vs. RPKM

    Is there any legitimate reason a tophat bam file would have reads for a gene whose RPKM was not reported in the output from tophat or cufflinks?

  • #2
    Originally posted by mgogol View Post
    Is there any legitimate reason a tophat bam file would have reads for a gene whose RPKM was not reported in the output from tophat or cufflinks?
    You are finding reads in tophat bam file that are not reported in output from tophat (which is .bam format)? I don't really understand your question-can you give an example.
    I thought tophat uses FPKM units and not RKPM.

    Comment


    • #3
      If I look at the list of genes whose FPKMs are reported by cufflinks, a certain group of genes is not found in that list at all.

      If I load a bam file generated from the tophat sam file into IGV, and browse around looking at those genes, they have reads. So they have reads, but FPKMs are not reported.

      I'm just wondering if this an error or if there is some legitimate explanation?

      Comment


      • #4
        if the reads are too few, they may be filtered by the F/--min-isoform-fraction parameter where TopHat filters out junctions supported by too few alignments.
        May be you can set it to 0.

        Also, I don't intuitively understand -a/--min-anchor-length <int> parameter, but it may also be limiting your reads that are counted for the FPKM.

        Comment


        • #5
          Thanks for the ideas.

          Comment


          • #6
            sure, if you find out whats going on, let us know. If the reads you saw on IGV don't span junctions, then its probably a parameter in bowtie that is throwing it- off-low quality or reads mapping to multiple places in the genome or something else. Its a good thing you caught it though

            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