Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Newsbot!
    Banned
    • Feb 2008
    • 1331

    #1

    RNA-Seq: Recent advances in RNA sequence analysis.

    Syndicated from PubMed RSS Feeds

    Recent advances in RNA sequence analysis.

    F1000 Biol Rep. 2010;2:64

    Authors: Salzberg SL

    The latest high-throughput DNA sequencing technology can now be applied on a large scale to capture the complete set of mRNA transcripts in a cell, using a technique called RNA-seq. Although RNA-seq is only 2 years old, it has rapidly swept through the field of genomics, and it is now being used to analyze the transcriptomes of organisms ranging from bacteria to primates. The depth of sequencing allows researchers to quantify the level of expression of genes, to discover alternative isoforms in eukaryotic species, and even to characterize the operon structure of bacterial genomes.

    PMID: 21173855 [PubMed - in process]



    More...
  • Rodri
    Junior Member
    • May 2011
    • 3

    #2
    Using this introduction of recent advances in RNA sequence analysis, and specifically about the bacterial genome structure obtained with RNA-Seq analysis, my question is:

    Do you Know the programs used to the bioinformatic characterization of the bacterial operon structure?

    As the first answer I include the Cufflinks, that I used with the next options:

    1) -g GTF-file tells cufflinks to use the reference annotations GTF file to guide the RABT assembly (Reference Annotation Bassed Transcript Assembly) "Roberts et al., 2011".
    2) -I 49. The maximum intron length is 49 and the minimum intron size as default is 50 pb. Then, with this option Cufflinks don't find any intron region, not present in prokaryotic genome.


    After the Cufflinks application with the 7 mapping files (bam files) obtained with TopHat using several lanes, I used Cuffmerge application taking the assembly GTF files obtained with Cufflinks as input, and I obtained a merged GTF file that includes the operon distribution.

    I like to compare the results with other possibilities and in the next reference (Passalaqua et al., 2009), we find in "The Quality control and statistical and bioinformatic analysis of sequence data" (Page 3204) that "the statistical analyses were done using R, Microsoft Excell 2008, and GraphPad Prism 5.0a. Processsing of sequence data for mapping or quantification was done using custom PERL scripts that are avaible for download at http://bergmanlab.biology.gatech.edu". This page is out of service and after mailing the correspondig author nickbergman, I don't receive any answer. If you have the scripts used and referenced, I really grate to receive them.

    Thanks for your aid.
    Last edited by Rodri; 11-14-2011, 02:41 AM. Reason: Bacterial Operon Structure characterization using RNA-Seq

    Comment

    • nivea
      Member
      • Apr 2011
      • 17

      #3
      Hey,

      I don't think using Cufflinks reference based method to reconstruct operon is a good idea, since if you use cuffmerge the output should be the "merged" operon structures from all the conditions or time points, then how can you determine the operon dynamic structure?Maybe Cufflinks without a reference genome could be an option for bacterial transcriptome construction.

      But I do have question here, does anyone try Scripture for the operon construction in bacteria?


      Originally posted by Rodri View Post
      Using this introduction of recent advances in RNA sequence analysis, and specifically about the bacterial genome structure obtained with RNA-Seq analysis, my question is:

      Do you Know the programs used to the bioinformatic characterization of the bacterial operon structure?

      As the first answer I include the Cufflinks, that I used with the next options:

      1) -g GTF-file tells cufflinks to use the reference annotations GTF file to guide the RABT assembly (Reference Annotation Bassed Transcript Assembly) "Roberts et al., 2011".
      2) -I 49. The maximum intron length is 49 and the minimum intron size as default is 50 pb. Then, with this option Cufflinks don't find any intron region, not present in prokaryotic genome.


      After the Cufflinks application with the 7 mapping files (bam files) obtained with TopHat using several lanes, I used Cuffmerge application taking the assembly GTF files obtained with Cufflinks as input, and I obtained a merged GTF file that includes the operon distribution.

      I like to compare the results with other possibilities and in the next reference (Passalaqua et al., 2009), we find in "The Quality control and statistical and bioinformatic analysis of sequence data" (Page 3204) that "the statistical analyses were done using R, Microsoft Excell 2008, and GraphPad Prism 5.0a. Processsing of sequence data for mapping or quantification was done using custom PERL scripts that are avaible for download at http://bergmanlab.biology.gatech.edu". This page is out of service and after mailing the correspondig author nickbergman, I don't receive any answer. If you have the scripts used and referenced, I really grate to receive them.

      Thanks for your aid.

      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
      16 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, Yesterday, 10:48 AM
      0 responses
      17 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-15-2026, 10:52 AM
      0 responses
      35 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...