Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • NGS whole genome sequence versus sequence capture for quality control

    Hi there,

    I am trying to compare NGS whole genome sequence data (two strains, one with x26 coverage and the other with x21 coverage) and custom agilent sequence capture of selected regions from the the above mentioned strains but with very high coverage (x10,000). Both data were analysed using the same pipeline.

    Aim:
    To get a percentage of how reliable my NGS data is compared to sequence capture.
    and the way I am thinking of doing it is by either extract the SNPs from NGS data SNPs/indel using the targeted regions that were used in the custom sequence capture and then compared how many snps were missed by the NGS analysis. or I can pull the snps at earlier point of the analysis.

    What I need to know is:
    (a)What i wanted to know is what do you think of this approach, specially i have not seen it yet done by other group yet ? (if it did could you please let me know about this article).

    (b) is there another way of comparing both dataset for quality control

    (c) Also I wanted to know what are other possible benefits from doing such comparison ? if you think it is a good idea?

    Cheers

Latest Articles

Collapse

  • seqadmin
    Techniques and Challenges in Conservation Genomics
    by seqadmin



    The field of conservation genomics centers on applying genomics technologies in support of conservation efforts and the preservation of biodiversity. This article features interviews with two researchers who showcase their innovative work and highlight the current state and future of conservation genomics.

    Avian Conservation
    Matthew DeSaix, a recent doctoral graduate from Kristen Ruegg’s lab at The University of Colorado, shared that most of his research...
    03-08-2024, 10:41 AM
  • seqadmin
    The Impact of AI in Genomic Medicine
    by seqadmin



    Artificial intelligence (AI) has evolved from a futuristic vision to a mainstream technology, highlighted by the introduction of tools like OpenAI's ChatGPT and Google's Gemini. In recent years, AI has become increasingly integrated into the field of genomics. This integration has enabled new scientific discoveries while simultaneously raising important ethical questions1. Interviews with two researchers at the center of this intersection provide insightful perspectives into...
    02-26-2024, 02:07 PM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, 03-14-2024, 06:13 AM
0 responses
33 views
0 likes
Last Post seqadmin  
Started by seqadmin, 03-08-2024, 08:03 AM
0 responses
72 views
0 likes
Last Post seqadmin  
Started by seqadmin, 03-07-2024, 08:13 AM
0 responses
81 views
0 likes
Last Post seqadmin  
Started by seqadmin, 03-06-2024, 09:51 AM
0 responses
68 views
0 likes
Last Post seqadmin  
Working...
X