Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Muthukumar
    Member
    • Jan 2016
    • 11

    #1

    how to identify number of fragments are produced for given gene in RNA-seq?

    Hi to all

    I have RNA -seq data, for calculation of FPKM value manually, we should need to know no of fragments were generated during RNA-seq for given gene am I right? Please any one tell me where to look to get the no of fragments produced for a given gene or any feature liks cds etc.,

    I followed one procedure Please let me know if my way of knowing read is wrong?

    first i open bam files into IGV , then I calculate the no of fragments for a given gene. Whether I did a right? and also please tell if above procedure is right for pair end sequencing whether i have to count both left and right fragments separately or combine into 1.
  • Michael.Ante
    Senior Member
    • Oct 2011
    • 127

    #2
    Hi Muthukumar,

    In principle, you are rigth. A fragment is given by the read/read-pair. Unfortunately, each read/read-pair can map to several positions on your annotation and cause a bit of ambiguity.
    Therefore, there are many ways to count the reads/read-pairs for a certain gene/transcript or feature. You may start with the Tuxedo-Suite pipeline http://www.ncbi.nlm.nih.gov/pubmed/22383036. Other methods are Salmon, featureCount, RSem, and many many more.

    Cheers,

    Michael

    Comment

    • GenoMax
      Senior Member
      • Feb 2008
      • 7142

      #3
      @Muthukumar: You don't want to do this by hand. There are software packages featureCounts and htseq-count that do this for one (or more) aligned BAM files. Both packages require a genomic feature definition file (GFF/GTF). If you are using a model organism then they are easy to find. Make sure you use one that matches the genome build used for your alignments.

      Comment

      • Muthukumar
        Member
        • Jan 2016
        • 11

        #4
        thanking you for answering the question. I am already following the nature protocol which u were mentioned. when i ran a command for cuffdiff and cufflinks , I got one column as FPKM , I want to do check my manually calculated FPKM and cuffdiff generated FPKM are same.Unfortunately I am not getting the exactly same answer.

        Here is the procedure that I was followed for calculation of FPKM.

        1. I counted the reads using IGV for specific gene.
        (here I want to clarify one doubt I am using pairwise end seq data, some of the reads were found both on left and right i mean overlapping reads for some genes whether I have to calculate as 2 reads or 1 read

        for instance:

        --------------> (read 1) <-------------- (read L)
        ------------------->(read R)
        ______________Exon1_______|___________________________|____Exon2___________

        for exon2 whether should I have 2 fragments combine into 1 or into separately. Pls tell calrify me. For my manual calculation I calculated as 2 fragments .

        2. I calculated using following formula

        # of fragments
        FPKM = ___________________________ * 10^9
        length of gene. Total no of reads

        Whether above formula is r8?

        One more doubt => my gene of interest contains 17 exons , All 17 exons are not having read fragments and some of the fragments for a exon is small and some of the fragments are lengthy. So whether I have the count the small reads also pls rectify me?

        Comment

        • Michael.Ante
          Senior Member
          • Oct 2011
          • 127

          #5
          Actually, the FPK-values are different, since Cuffdiff performs some extra heuristics.
          As GenoMax posted, you should assess the read counts not manually, but use an accepted tool.
          The FPKM is usually computed on transcript level and taking its exons' length as part of the denominator.
          The read-length is something which should be controlled for in the alignment. Therefore, if your aligner reported a read/read-pair to map there, I would take it as a valid read/read-pair. In case you are doubting it, you might re-align your data with length-filtered reads (e.g. using bbduk.sh from bbmap).

          Comment

          Latest Articles

          Collapse

          • 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, detection...
            Yesterday, 06:46 AM
          • SEQadmin2
            Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
            by SEQadmin2



            Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

            Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
            ...
            10-14-2026, 09:55 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, 10-28-2026, 09:57 AM
          0 responses
          27 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 10-28-2026, 09:51 AM
          0 responses
          18 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 10-22-2026, 11:13 AM
          0 responses
          71 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 10-22-2026, 10:48 AM
          0 responses
          48 views
          0 reactions
          Last Post SEQadmin2  
          Working...