Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • GBardai
    Junior Member
    • Sep 2019
    • 2

    Deletions detected using Ion PGM not appearing when using Illumina

    Hello

    I was wondering if anyone has encountered the issue described below or maybe able to offer some guidance:

    Using the Ion PGM, Ampliseq Custom panel, we detected a heterozygous 12 bp deletion . In IgV, 150 reads have the deletion and 150 do not. This deletion was confirmed using Sanger sequencing.

    When using this same sample on the NextSeq550 (Sample and library prep was tansposon based NexteraFlex for Enrichment and target enrichment was IdT xGEN research panel probe set) this deletion is seen only 2 times in 80 reads.

    We attempted an alternative target enrichment set, TWIST Human Exome panel with RefSeq spike in, with the same sample and library prep system and once again came up with the same results. To rule out the sample and library prep, we are thinking to attempt this with a different enzyme fragmentation kit.

    From a bioinformatics perspective, Is there a possibility that the reads having the deletions are being filtered out when the fastq files are used to generate bam?

    Thanks
    Ghalib
  • colindaven
    Senior Member
    • Oct 2008
    • 417

    #2
    You don't mention any bioinformatics processes used, so it is impossible to answer your question.

    What you mean is during the read mapping pipeline (FASTQ-> BAM).

    We use NextSeq frequently and I would expect an indel of this size to be reliably detected using either single or paired end reads (PE always better).

    Comment

    Latest Articles

    Collapse

    • SEQadmin2
      Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
      by SEQadmin2



      Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
      ...
      07-09-2026, 11:10 AM
    • SEQadmin2
      Cancer Drug Resistance: The Lingering Barrier to Rising Survival
      by SEQadmin2



      Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

      There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
      07-08-2026, 05:17 AM
    • GATTACAT
      Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
      by GATTACAT
      Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
      07-01-2026, 11:43 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, Today, 10:26 AM
    0 responses
    9 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-09-2026, 10:04 AM
    0 responses
    24 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-08-2026, 10:08 AM
    0 responses
    16 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-07-2026, 11:05 AM
    0 responses
    33 views
    0 reactions
    Last Post SEQadmin2  
    Working...