Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • tedwong
    Member
    • Mar 2015
    • 13

    Sequins: spike-in standards for genome sequencing

    Genome sequencing has become a principal tool in biomedical research and clinical diagnostics. However, numerous experimental and bioinformatic variables influence the sensitivity and precision of variant detection.

    We have developed a set of synthetic spike-in standards (termed ‘sequins’) that emulate features of a human genome, such as sites of genetic variation, and constitute internal controls for genome sequencing. Sequins can be used as qualitative controls to assess multiple stages of a genome sequencing workflow, inform bioinformatic analyses and establish an internal reference scale against which quantitative features of genome biology can be measured.

    Please see our recent Nature Methods publication for a full description of sequins for DNA sequencing.

    This thread provides a forum for current and future sequin users to discuss any aspect of this emerging technology.

    You can also watch this short video, which provides an introduction to sequins or visit http://www.sequin.xyz/ for more details.

    Cheers

    Ira Deveson (on behalf of the Sequin team)

Latest Articles

Collapse

  • SEQadmin2
    Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by SEQadmin2


    I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.


    Here are nine questions we think about, in roughly the order they matter, before...
    06-18-2026, 07:11 AM
  • SEQadmin2
    From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
    by SEQadmin2


    Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


    The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
    ...
    06-02-2026, 10:05 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, 06-17-2026, 06:09 AM
0 responses
30 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 06-09-2026, 11:58 AM
0 responses
48 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 06-05-2026, 10:09 AM
0 responses
58 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 06-04-2026, 08:59 AM
0 responses
56 views
0 reactions
Last Post SEQadmin2  
Working...