Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Tka
    Junior Member
    • Apr 2013
    • 2

    #1

    Differential gene expression on metatranscriptome data

    Hi,

    I am new to RNA-seq analysis and wanted to ask for some advice. I'm working on several soil metagenomes taken at different temperatures. My plan is to map the reads from each sample against a reference genome and subsequently use DeSeq and Edger to screen for differentially expressed genes.
    I was wondering if this will give reasonable results as I am only working with those metagenome reads that map to the reference. What do you think?

    Regards,
    Tka
  • severin
    Genome Informatics Facility
    • Sep 2009
    • 105

    #2
    metatranscriptome

    Originally posted by Tka View Post
    Hi,

    I am new to RNA-seq analysis and wanted to ask for some advice. I'm working on several soil metagenomes taken at different temperatures. My plan is to map the reads from each sample against a reference genome and subsequently use DeSeq and Edger to screen for differentially expressed genes.
    I was wondering if this will give reasonable results as I am only working with those metagenome reads that map to the reference. What do you think?

    Regards,
    Tka
    To get a proper answer you will need to provide a lot more information about how deep the sequences was, if this is an environmental sample or sterilized a with reference bacteria added, and how many biological replicates do you have?

    Let's assume these are environmental samples, then I would recommend doing de novo assembly and mapping back to the assembly to get count data.

    Andrew

    Comment

    • Tka
      Junior Member
      • Apr 2013
      • 2

      #3
      Thank you for the reply and I will try to be a little more specific.

      The experiment design included 3 biological replicates for different temperature points. It's biological soil samples but the coverage is unknown. Only thing I know is that the number of reads (Illumina) for each sample is the same. I have a reference that is either included in the sample or has multiple very closely related strains in it.

      By the way: sorry for asking real basic questions. Just started with transcriptomics and didn't think about de novo assembly, yet. Could you hint me to some tools that map de novo assembled transcripts to a reference genome?

      Thanke you very much,
      Tka
      Last edited by Tka; 04-16-2013, 12:45 AM.

      Comment

      • severin
        Genome Informatics Facility
        • Sep 2009
        • 105

        #4
        Originally posted by Tka View Post
        Thank you for the reply and I will try to be a little more specific.

        The experiment design included 3 biological replicates for different temperature points. It's biological soil samples but the coverage is unknown. Only thing I know is that the number of reads (Illumina) for each sample is the same. I have a reference that is either included in the sample or has multiple very closely related strains in it.

        By the way: sorry for asking real basic questions. Just started with transcriptomics and didn't think about de novo assembly, yet. Could you hint me to some tools that map de novo assembled transcripts to a reference genome?

        Thanke you very much,

        Tka

        In diagram form.

        Take all raw read files -> Trinity assembly program -> assembled scaffolds
        take each raw reads -> align using GSNAP alignment program to assembled scaffolds -> SAM output
        take assembled scaffolds -> metageneMark -> gene models gff file
        use aligned file, gff file and htseq-count --stranded=no to generate count information on a per gene basis for your denovo assembled transcripts
        blast gene models against NR to determine function of genes.

        Good luck!

        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, Yesterday, 11:13 AM
        0 responses
        17 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, Yesterday, 10:48 AM
        0 responses
        18 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-15-2026, 10:52 AM
        0 responses
        36 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-14-2026, 05:39 AM
        0 responses
        42 views
        0 reactions
        Last Post SEQadmin2  
        Working...