Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • ForeignMan
    Member
    • Jun 2010
    • 20

    #1

    Question concering deletions and inversions inferred from PE-sequencing

    Hello everyone,

    I've got two questions concerning the detection of structural variations:

    1.) We sequenced the same cell line twice with the Illumina GA II (paired-end, 100bp read length), but with different insert sizes; ca. 400bp in run1 and 200bp in run2 (ends may overlap here). Kinda strange thing happend here when we detected deletions: In run1 we detected deletions (ca. 1.500) of various sizes (ca. 150bp - 200.000bp), quite a lot of deletions of a few thousand basepairs. In run2 almost 100% of the deletions ranged between only 100bp and 1.000bp. We saw this using Breakdancer and GASV using the same parameters and filtering criteria in both runs. The sequence and fragment coverage is also comparable in both runs. I don't quite understand why there are such big differences and some kind of upper limit in run2. Maybe some of you have experienced something similar.

    2.) Does anyone know an effect during the paired-end sequencing process (Illumina GA II in my case) that can cause artificial inversions? We noticed quite strong deviations in the number of detected inversions across different experiments or samples (we used GASV for variant detection); it ranged from 10 to 20.000 inversions using the same programs and parameters during the analysis. I'd never expect that much inversions and such discrepancies even across different samples. Does someone know if that might be a technical problem in the lab or in the sequencing machine?

    I'd be very glad if someone had some ideas, that help me understand these effects. Thanks in advance.

    Cheers,
    Christoph
    Last edited by ForeignMan; 05-09-2011, 03:56 AM.

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, 08-13-2026, 12:22 PM
0 responses
20 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 08-11-2026, 10:35 AM
0 responses
17 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 08-06-2026, 07:41 AM
0 responses
32 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 08-03-2026, 10:13 AM
0 responses
50 views
0 reactions
Last Post SEQadmin2  
Working...