Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • HereBeDragons
    Junior Member
    • Mar 2011
    • 9

    #1

    Geneious: can I save fewer contigs for PE?

    Hi all,

    Im working with illumina paired end output. I used genomic DNA but am only interested in the assembly of the organellar genomes (relying on higher copy number to give sufficient sequencing depth and coverage)...so the assembly of nuclear reads into contigs is just clutter.
    Using Genieous 5.4 I am getting millions of contigs. I was wondering if there is a way to save just the largest contigs (hopefully organellar) after the initial assembly steps? At the 60% point my assembly is slowing to a glacial crawl as it implements the paired end data. I need a way to speed things up.

    Im completely new to this, any advice would be great!
  • anli
    Junior Member
    • Apr 2011
    • 3

    #2
    You can save the contigs. But there is a upper limit to how many.

    If you are interested in only the organellar genomes why not try to randomly down-sample your dataset. The organellar genomes should be at much higher coverage, so it might help.

    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
    28 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...