Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Maximum cluster density for a GA and Hiseq flowcell that still produces good result

    Just curious!? At what point does the number of clusters max out the ability of the machine to read it well (from first base report) - on both a HiSeq or GA flowcell? Thanks

  • #2
    For the HiSeq, I have gotten great results when I aim for the 700,000 K/mm^2 cluster density off of the first base report (usually about 90-120 million reads pass filter). I have had some luck with shooting as high as 1,000,000 K/mm^2, but it's hit or miss and I wouldn't recommend it.

    For the GAIIx, I usually aim for 350,000 clusters/mm^2 off of the first base report and about 35-40 million reads pass filter.

    Hope this helps!

    Comment


    • #3
      Originally posted by kthai View Post
      For the HiSeq, I have gotten great results when I aim for the 700,000 K/mm^2 cluster density off of the first base report (usually about 90-120 million reads pass filter). I have had some luck with shooting as high as 1,000,000 K/mm^2, but it's hit or miss and I wouldn't recommend it.

      For the GAIIx, I usually aim for 350,000 clusters/mm^2 off of the first base report and about 35-40 million reads pass filter.

      Hope this helps!
      About the GAIIx, I assume it is 350,000 clusters/tile?
      Out of curiosity, what concentration are you loading on the GAIIx?

      Best Regards.

      Comment


      • #4
        We typically load at 8pM, but this loading concentration may change depending on how multiplexed each lane is.

        Also, it is important to note that this "8pM" loading concentration may vary for each lab depending on the choice of QC methods.

        Comment

        Latest Articles

        Collapse

        • seqadmin
          Essential Discoveries and Tools in Epitranscriptomics
          by seqadmin


          The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist on Modified Bases...
          Yesterday, 07:01 AM
        • seqadmin
          Current Approaches to Protein Sequencing
          by seqadmin


          Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
          04-04-2024, 04:25 PM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by seqadmin, 04-11-2024, 12:08 PM
        0 responses
        39 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-10-2024, 10:19 PM
        0 responses
        41 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-10-2024, 09:21 AM
        0 responses
        35 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-04-2024, 09:00 AM
        0 responses
        55 views
        0 likes
        Last Post seqadmin  
        Working...
        X