Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • clarissaboschi
    replied
    same doubt - how to filter the CNVs.
    Maybe p-value of <0.01 or <0.05
    And about the size of CNVs?

    Leave a comment:


  • Mark.hz
    replied
    same question: how to filter result, and which p-val should be considered?

    Leave a comment:


  • Hit
    replied
    So is there any rules should be used to filter the results based on p-val1 or p-val2? Or all the output on screen are candicate?

    Leave a comment:


  • DineshCyanam
    replied
    Do the graphs make any sense? It would be great if any of you can explain it to me.

    I graphed the below region and here is what I get:
    Code:
    duplication chr1:172376901-172381900	5000	10.2	2.54996e-10	2.65008e-29

    Leave a comment:


  • zhk
    replied
    Thx bioworker,
    I think it will help me a lot.

    Leave a comment:


  • bioworker
    replied
    This is what I got from the author of CNVnator:

    CNV_type coordinates CNV_size normalized_RD p-val1 p-val2

    normalized_RD -- normalized to 1.
    p-val1 -- is calculated using t-test statistics.
    p-val2 -- is from probability of RD values within the region to be in
    the tails of gaussian distribution describing frequencies of RD values in bins.

    Leave a comment:


  • zhk
    started a topic CNVnator: The format of cnv result

    CNVnator: The format of cnv result

    I know CNVnator has been used in 1000 Genomes Project. But there is little of material to explain the format of CNV result. Is there anyone know the format of cnv result? For example:
    deletion chr10:6070441-6074520 4080 0.674906 0.00834134 72162.3
    It is very easy to understand the first three column mean, but is there any can explain the rest of column mean?

Latest Articles

Collapse

  • seqadmin
    Multiomics Techniques Advancing Disease Research
    by seqadmin


    New and advanced multiomics tools and technologies have opened new avenues of research and markedly enhanced various disciplines such as disease research and precision medicine1. The practice of merging diverse data from various ‘omes increasingly provides a more holistic understanding of biological systems. As Maddison Masaeli, Co-Founder and CEO at Deepcell, aptly noted, “You can't explain biology in its complex form with one modality.”

    A major leap in the field has
    ...
    02-08-2024, 06:33 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, 02-21-2024, 08:52 AM
0 responses
30 views
0 likes
Last Post seqadmin  
Started by seqadmin, 02-20-2024, 08:57 AM
0 responses
20 views
0 likes
Last Post seqadmin  
Started by seqadmin, 02-14-2024, 09:19 AM
0 responses
55 views
0 likes
Last Post seqadmin  
Started by seqadmin, 02-12-2024, 03:37 PM
0 responses
459 views
0 likes
Last Post seqadmin  
Working...
X