Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • DCseq
    Junior Member
    • Jul 2017
    • 6

    #1

    Volcano plot with R

    Hello everyone!

    We are cooperating with an Institute that performed Illumina sequencing (HiSeq3000) for our RNA samples. They normalized and annotated the data using CLC Genomics Workbench 9. In the end, we received an Excel table containing the name of the gene, expression count, p, FDR, Bon, fold change and RPKM value.
    I wrote an R script to make a volcano plot (log2FC on the x-axis, -log10p on the y axis).


    The issues:
    (1) Turns out that roughly 66% of our genes have a p value of 1. I excluded these genes as they are plotted on the x-axis (log2(1)=0). Is it okay to pre-filter data for a volcano plot or do people usually plot the whole data set?
    (2) Another roughly 180 genes have a p-value of exactly 0. As I cannot calculate the logarithm of value 0, I first wanted to replace the zeros with the second smallest p value available in my dataset. However, as there are so many genes with p=0, it is hard to randomly assign a small p value without creating a suspicious pattern of dots in my plot. How do people plot genes with p=0?
    (3) We figured that maybe the p=0 and p=1 values are rounded values that appear when they ask the software to create an Excel file. Could that be possible?
    Our collaborator claims that none of the values are rounded. Yet, when they ask their automated software (CLC Genomics Workbench) to create a volcano plot, it looks normal, without any horizontal lines.

    Any input is greatly appreciated!!

    Best wishes
    DCseq
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    Why not ask them to export the normalized values from CLC (or better still the raw counts). You can do your own analysis (sounds like you are comfortable with R) with that data (e.g. DESeq2).

    Comment

    • DCseq
      Junior Member
      • Jul 2017
      • 6

      #3
      I asked them for DESeq2 files but they replied they cannot give me such an output quoting the following:
      "
      ************************************
      Export of tables

      Tables can be exported in four different formats; CSV, tab-separated, Excel, or html. When exporting a table in CSV, tab-separated, or Excel format, numbers with many decimals are printed in the exported file with 10 decimals, or in 1.123E-5 format when the number is close to zero.

      When exporting a table in html format, data are exported with the number of decimals that have been defined in the workbench preference settings. When tables are exported in html format from the server or using command line tools, the default number of exported decimals is 3.
      ************************************
      "

      Nonetheless, they said they could give me BAM files. I have not worked with BAM files before. Would they be helpful in my case?

      Many thanks

      Comment

      • wdecoster
        Member
        • Oct 2015
        • 97

        #4
        Everything would be fixed if you can get the bam files, then you can do your own analysis. Getting counts (in R) is easy, doing differential expression analysis isn't too hard.

        Comment

        • GenoMax
          Senior Member
          • Feb 2008
          • 7142

          #5
          If you get the BAM files then you can use featureCounts (via R subread package) followed by DESeq2. You should ask them to let you know the exact genome build used (or better still ask them to provide corresponding GTF files) since you would need those for read counting using BAM files and featureCounts.

          Comment

          • DCseq
            Junior Member
            • Jul 2017
            • 6

            #6
            Great, many thanks for your responses. I requested the GTF files from our collaborator and will let you know how everything goes!

            Comment

            Latest Articles

            Collapse

            • 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
            • SEQadmin2
              New Genomics Technologies Take Aim at Long-Standing Limits
              by SEQadmin2


              Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

              We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
              ...
              09-28-2026, 10:25 AM

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by SEQadmin2, 10-22-2026, 11:13 AM
            0 responses
            30 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 10-22-2026, 10:48 AM
            0 responses
            22 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 10-15-2026, 10:52 AM
            0 responses
            39 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 10-14-2026, 05:39 AM
            0 responses
            45 views
            0 reactions
            Last Post SEQadmin2  
            Working...