Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • ssseq
    Junior Member
    • Dec 2010
    • 3

    #1

    UCSC uploading error

    Hi everyone,

    I'm getting an error trying to upload a GFF file to the UCSC genome browser. When I copy and paste a few lines of the file, it works fine so I know the file format is ok. When I try to do the whole file I get this error.
    ********
    File 'splitetv2moab.gff' - track load error (track name='ct_UserTrack_3545'):
    start -1, end 101 out of range in findBin (max is 512M)
    ********
    There are no "-1"s in the file. I thought perhaps it was because the file was too big (118 MB- not that big in general); so I split it into 4 files, but that still isn't working.

    Has anyone seen this error before or have any suggestions on how to get this file to upload?

    Thanks,
    Sarah
  • biznatch
    Senior Member
    • Nov 2010
    • 124

    #2
    I can't help with that error specifically, but the UCSC genome browser file size limit is 500mb and approx. 100million lines (although I've uploaded up to 200million). So file size probably isn't your problem. If the file is too big, it'll either tell you it's too big, over 500mb, or it will just time out and go to a blank screen.

    Comment

    • samanta
      Senior Member
      • Feb 2010
      • 108

      #3
      Seems like your gff file has problems. The best way to sort it would be to partition the file into two parts and see whether each part loads fine. Trying first few lines does not help, if the error is in 6000th line or so.

      BTW, when you partition the file, please try to make sure it does not split data from a gene into two parts. Partitioning along chromosomes or scaffolds works best.
      http://homolog.us

      Comment

      • ssseq
        Junior Member
        • Dec 2010
        • 3

        #4
        Thanks for the comments- I had actually tried that and still couldn't figure out why it didn't work. I ended up just converting to .bed format, which worked fine. Thanks for the help!

        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,...
          10-30-2026, 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, Today, 07:59 AM
        0 responses
        13 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 11-05-2026, 09:25 AM
        0 responses
        32 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 11-03-2026, 11:54 AM
        0 responses
        45 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-28-2026, 09:57 AM
        0 responses
        169 views
        0 reactions
        Last Post SEQadmin2  
        Working...