Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • apratap
    Member
    • Jan 2009
    • 58

    #1

    binning Illumina reads by clusters on flowcell

    Just wondering is it possible to group the reads by the cluster they
    came from on the flowcell. We want to do so to get an idea of regions(clusters)
    contributing to low/high quality reads and compare GC.

    I have noticed the fastq header has the X|Y coordinates but not sure how to cluster them together to determine the boundaries of each cluster.

    Thanks!
    -Abhi
  • HESmith
    Senior Member
    • Oct 2009
    • 512

    #2
    Hi Abhi,

    A note on Illumina terminology: each cluster is a single read, so you must be referring to a group of clusters within a defined space.

    If your data is from GA, then it was divided initially into 100 (or 120) tiles. IVC and error plots are generated for each tile. I suspect that's not sufficient resolution for your application. As you noted, you could bin the data by X-Y coordinates and plot average (or mean/min/max) scores to find regions of low or high quality. I don't know of any off-the-shelf tool for this purpose.

    Comment

    • apratap
      Member
      • Jan 2009
      • 58

      #3
      Hi Smith

      Thanks for correcting me. I indeed meant cluster of clusters i.e a region on the flowcell. What I am not sure what size regions should I limit myself to.

      I think what you suggest makes sense for starting and see how clustered my good and bad regions are in terms of quality and may be GC

      -Abhi

      Comment

      Latest Articles

      Collapse

      • kinpict.com
        Reply to 16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
        by kinpict.com
        The part about this topic feels surprisingly grounded, and the details on the page is the bit that made me slow down. I’d keep <a href="https://kinpict.com/">ai family photo generator</a> bookmarked for later.
        Today, 06:37 PM
      • 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

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 11-12-2026, 07:59 AM
      0 responses
      27 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 11-05-2026, 09:25 AM
      0 responses
      35 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 11-03-2026, 11:54 AM
      2 responses
      56 views
      0 reactions
      Last Post kinpict.com  
      Started by SEQadmin2, 10-28-2026, 09:57 AM
      0 responses
      175 views
      0 reactions
      Last Post SEQadmin2  
      Working...