Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Studentlost
    Member
    • Oct 2014
    • 28

    #1

    iGenomes reference genome not accurate?

    I grabbed the mm9 reference genome from iGenome. When running cuffcompare, I noticed that the genes.gtf refers to chr#_random whereas the chromosome folder only contained chr#, and no files for _random. I corrected this by downloading the chr#_random files from the UCSC mm9 build so now everything matches with the genes.gtf file.

    However, the mm9 build came with a pre-index bowtie2 file to use when aligning to the genome (I used TopHat). My concern is that the bowtie2 index was not created with the chr#_random files. Is there a way to check this?

    Does anyone know of a better place to grab an accurate mm9 build with bowtie2 index?

    If you think the bowtie2 index might be questionable, how can I index all the chromosomes at once to create a version I trust?

    Have you guys ran into similar issues?

    Thanks a lot for your help.
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    Did you get the mm9 from cufflinks igenomes site?

    Try the iGenomes mm9 directly from Illumina: http://support.illumina.com/sequenci...e/igenome.html
    Last edited by GenoMax; 10-26-2014, 05:30 PM.

    Comment

    • Studentlost
      Member
      • Oct 2014
      • 28

      #3
      I am 90% sure that's where I grabbed it from but I'll download it again just to verify.

      Comment

      • Studentlost
        Member
        • Oct 2014
        • 28

        #4
        Downloaded it again:

        Here's the chromosome list:
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chrY.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr5.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr3.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr2.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr6.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr16.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr15.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr12.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chrM.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr1.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr4.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr9.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr18.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr10.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr14.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chrX.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr11.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr13.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr19.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr8.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr17.fa
        Mus_musculus/UCSC/mm9/Sequence/Chromosomes/chr7.fa

        It's missing the _random.fa files for each chromosome, which are referenced in the genes.gtf file...

        Comment

        • GenoMax
          Senior Member
          • Feb 2008
          • 7142

          #5
          If you are interested in the "chr*_random" sequences that are not uniquely placed on the chromosome then you should build a genome file/index on your own.

          Comment

          • lh3
            Senior Member
            • Feb 2008
            • 686

            #6
            *_random sequences could be unique sequences in heterochromatin or a large segdup where the flanking cannot be localized or placed. We use these sequences in mapping to reduce mapping artifacts, not really because we are interested in them. I am always curious why Illumina excludes them.

            Comment

            • Studentlost
              Member
              • Oct 2014
              • 28

              #7
              I downloaded the _random chromosomes from the UCSC website and built a new Bowtie2 index using this. I ran Tophat with the -G genes.gtf option and the new index.

              However....
              Here's an error I got from CuffLinks:
              GFF warning: merging adjacent/overlapping segments (many of these)
              Kept 32976 ref transcripts out of 33802
              826 duplicate reference transcripts discarded.

              Here's a similar error I got from CuffCompare
              Kept 33035 transfrags out of 33262
              227 redundant cufflinks transfrags discarded.

              So now my GTF file isn't accurate? I got it from the Illumina iGenome mm9 build. I'm starting to think downloading anything from Illumina is more trouble than it's worth.

              If I was going to download the unmasked genome, build an index, and download an accurate GTF file for the genome, where would I best go? Or is there a way to verify my GTF file against my index?

              What has worked for you in this situation?

              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
              27 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 10-22-2026, 10:48 AM
              0 responses
              20 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
              43 views
              0 reactions
              Last Post SEQadmin2  
              Working...