Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Ulli
    Junior Member
    • Mar 2011
    • 2

    #1

    Exome Sequencing with NimbleGen SeqCap EZ v2

    Hi all!

    We used NimblGen's SeqCap EZ Human Exome Library v2.0 followed by paired-end sequencing on the Illumina GAIIx for exome sequencing. BWA was used for sequence alignment. About 95% of the reads could be aligned to the genome. However, only about 60% of all aligned reads align within the target region. NimbleGen says, that 80% on target is feasible.

    Did anyone reach 80% with this library? Any experiences with this library are welcome. We used the SeqCap v.1 library first and achieved the same percentage on target (60%). So the new version did not improve the results in our case. Merely the target region is larger now.

    Best wishes,
    Ulli
  • upenn_ngs
    Member
    • Sep 2009
    • 70

    #2
    what is the % reads on target including +/-100bp? if this metric shows >90% reads on target then i suspect your coverage issue can be resolved by narrowing the gDNA insert size based on your preferred read length. (i.e. ~200bp insert for 2x100bp reads)

    Comment

    • Ulli
      Junior Member
      • Mar 2011
      • 2

      #3
      Hi!

      I used the "Tiled Region" provided by NimbleGen as .bed file for my calculations.
      (http://www.nimblegen.com/products/se...tml#annotation)

      When I understand you correctly, it might happen that I have reads with one end of the read on target and the other end off target. In my calculations, such an overlapping paired-end read is counted as one sequence on target and one sequence off target. I will extend the Tiled Region by 300bp and recalculated the % on target. Maybe this will increase the % on target to ~ 80%.

      However, I wonder why I obtained the advertised 60% with the version 1 library, even though I used the same strict method to calculate the % on target.

      Regards,
      Ulli

      Comment

      • upenn_ngs
        Member
        • Sep 2009
        • 70

        #4
        could be the probes used to target additional loci in v2 are less stringent, or a difference in sample prep
        Last edited by upenn_ngs; 03-07-2011, 10:10 AM.

        Comment

        • Michael.James.Clark
          Senior Member
          • Apr 2009
          • 207

          #5
          My numbers are consistently better than those Nimblegen quotes.

          My experience:

          At 80M reads, >97% of tiled regions were covered at 10X or higher, and nearly 100% of tiled bases are covered at least once.

          Randomly extracting 20M reads from that, >83% of tiled regions are covered at 10X or higher, and almost 97% of tiled regions are covered at least once.

          Edit:

          Sorry, I think I misunderstood. It looks like your confusion is regarding "off-target" enrichment, not coverage of the tiled intervals. Expect a very large number of alignments to regions immediately adjacent to the tiles. We expect >90% (the number currently quoted by Nimblegen as far as I know) of the tiles to have reads covering them at 10X or higher generally. However, I also find significantly higher coverage outside the tiled intervals than Nimblegen claims. That said, it doesn't negatively impact the exome enrichment and simultaneously yields extra in the introns/UTRs, so I don't see it as a bad thing.
          Last edited by Michael.James.Clark; 04-26-2011, 10:46 AM.
          Mendelian Disorder: A blogshare of random useful information for general public consumption. [Blog]
          Breakway: A Program to Identify Structural Variations in Genomic Data [Website] [Forum Post]
          Projects: U87MG whole genome sequence [Website] [Paper]

          Comment

          Latest Articles

          Collapse

          • SEQadmin2
            Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
            by SEQadmin2



            CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

            Despite this, “CRISPR helped turn genome editing from a specialized technique into
            ...
            07-31-2026, 11:01 AM
          • SEQadmin2
            Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
            by SEQadmin2


            Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

            The systematic characterization of the human proteome has
            ...
            07-20-2026, 11:48 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, Yesterday, 12:22 PM
          0 responses
          12 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 08-11-2026, 10:35 AM
          0 responses
          14 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 08-06-2026, 07:41 AM
          0 responses
          31 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 08-03-2026, 10:13 AM
          0 responses
          49 views
          0 reactions
          Last Post SEQadmin2  
          Working...