Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • bioinfosm
    Senior Member
    • Jan 2008
    • 483

    #1

    ChipSEQ on Solexa (low % align, unusable reads)

    Hi,

    I thought there was some discussion, but could not find it - regarding the data output from a chipSEQ run using the Solexa GA.

    There is very little dna to work with, is what the sequencing team says. But after a run through the solexa pipeline, I see under 20% passing-filter reads aligning to the reference genome. That is way too low, and that too with error rate of about 5% !

    Are there any changes or workarounds as to what might be causing it? or its simply blame it on the data! The number of clusters, % pass, intensities all look fine..
    --
    bioinfosm
  • new300
    Member
    • Mar 2008
    • 50

    #2
    How many clusters are you getting per tile and what are the sequences that don't align, are they all the adapter sequence perhaps?

    Comment

    • bioinfosm
      Senior Member
      • Jan 2008
      • 483

      #3
      Originally posted by new300 View Post
      How many clusters are you getting per tile and what are the sequences that don't align, are they all the adapter sequence perhaps?
      Its about 10,000-15,000 PF clusters. I am yet to check match with adapter, is there a dataset I could use to do that? A reference sequence to check for adapter?
      --
      bioinfosm

      Comment

      • bioinfosm
        Senior Member
        • Jan 2008
        • 483

        #4
        And the phiX control looks perfectly fine .. less than 1% error, good data overall..
        --
        bioinfosm

        Comment

        • bioinfosm
          Senior Member
          • Jan 2008
          • 483

          #5
          What should be the way to detect adapter contamination in my chipSEQ data?

          I tried using this as reference set for ELAND, but did not work as expected, any ideas? I would simply want to see what % of reads are adapters or adapter dimers, etc.

          >Adapters1a
          GATCGGAAGAGCTCGTATGCCGTCTTCTGCTTG
          >Adapters1b
          ACACTCTTTCCCTACACGACGCTCTTCCGATCT
          --
          bioinfosm

          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
          • 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

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, 08-03-2026, 10:13 AM
          0 responses
          16 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-31-2026, 02:55 AM
          0 responses
          32 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-24-2026, 12:17 PM
          0 responses
          23 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-23-2026, 11:41 AM
          0 responses
          21 views
          0 reactions
          Last Post SEQadmin2  
          Working...