Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • nimmi
    started a topic scripture output

    scripture output

    We did RNA-seq on 5 cases and 5 controls. Following the documentation given on scripture website I got some results for Chr1. Below are few lines from the output. There are a total of 64K rows for Chr1, of which ~62K have FWER<0.05 and last column (Poisson pvalue) is significant for all the rows. Why are so many transcripts significant? Did anyone else observe this trend in their data?

    chrom chromStart chromEnd name score strand thickStart thickEnd itemRgb blockCount blockSizes blockStarts Family wise error rate (FWER) at the observed score Read enrichment (average reads per base over transcript / genome average) Total reads aligned transcript Average reads per base over transcript RPKM Genome average reads per base Transcript length Poisson nominal p-value for the observed count given the genome-wide average
    chr1 569913 570307 chr1:569913-570307 40848.5882 + 569913 570307 0,0,0 6 1,2,1,7,4,53, 0,3,7,9,17,341, 1.11E-16 10181.53598 109494 1610.205882 40848.5882 0.158149604 68 0
    chr1 16266622 16302620 chr1:16266622-16302620 68.37972491 - 16266622 16302620 0,0,0 15 2125,111,210,131,117,88,301,143,613,192,141,189,203,87,143, 0,2203,2401,2936,3471,3680,4172,4569,4809,5521,6026,6807,8167,32911,35855, 1.11E-16 17.0436889 12922 2.695452649 68.37972491 0.158149604 4794 0
    chr1 16266622 16302620 chr1:16266622-16302620 68.36914145 - 16266622 16302620 0,0,0 15 2125,111,210,131,122,83,301,143,613,192,141,189,203,87,143, 0,2203,2401,2936,3471,3685,4172,4569,4809,5521,6026,6807,8167,32911,35855, 1.11E-16 17.04105096 12920 2.695035461 68.36914145 0.158149604 4794 0

    thanks in advance,
    Nirmala

Latest Articles

Collapse

  • seqadmin
    Non-Coding RNA Research and Technologies
    by seqadmin




    Non-coding RNAs (ncRNAs) do not code for proteins but play important roles in numerous cellular processes including gene silencing, developmental pathways, and more. There are numerous types including microRNA (miRNA), long ncRNA (lncRNA), circular RNA (circRNA), and more. In this article, we discuss innovative ncRNA research and explore recent technological advancements that improve the study of ncRNAs.

    Nobel Prize for MicroRNA Discovery
    This week,...
    Yesterday, 08:07 AM
  • seqadmin
    Recent Developments in Metagenomics
    by seqadmin





    Metagenomics has improved the way researchers study microorganisms across diverse environments. Historically, studying microorganisms relied on culturing them in the lab, a method that limits the investigation of many species since most are unculturable1. Metagenomics overcomes these issues by allowing the study of microorganisms regardless of their ability to be cultured or the environments they inhabit. Over time, the field has evolved, especially with the advent...
    09-23-2024, 06:35 AM
  • seqadmin
    Understanding Genetic Influence on Infectious Disease
    by seqadmin




    During the COVID-19 pandemic, scientists observed that while some individuals experienced severe illness when infected with SARS-CoV-2, others were barely affected. These disparities left researchers and clinicians wondering what causes the wide variations in response to viral infections and what role genetics plays.

    Jean-Laurent Casanova, M.D., Ph.D., Professor at Rockefeller University, is a leading expert in this crossover between genetics and infectious...
    09-09-2024, 10:59 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, 10-02-2024, 04:51 AM
0 responses
95 views
0 likes
Last Post seqadmin  
Started by seqadmin, 10-01-2024, 07:10 AM
0 responses
106 views
0 likes
Last Post seqadmin  
Started by seqadmin, 09-30-2024, 08:33 AM
1 response
106 views
0 likes
Last Post EmiTom
by EmiTom
 
Started by seqadmin, 09-26-2024, 12:57 PM
0 responses
20 views
0 likes
Last Post seqadmin  
Working...
X