Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Zero output for sel.rn=rowSums(cnts) != 0

    I get a problem when I want to try step 2 from "RNA-seq data pathway and gene-set analysis workflow" by Weijun Luo. I get zero rows with value !=0.

    Code:
    > p.cnts=assay(gnCnt)
    > cnts=p.cnts
    > dim(cnts)
    [1] 7017    2
    > sel.rn=rowSums(cnts) !=0
    > cnts=cnts[sel.rn,]
    > dim(cnts)
    [1] 0 2
    When I check my BAM files with IGV it looks that I have mapped reads all over the genome.
    Any advise?

  • #2
    I haven’t seen your data and exactly how you did your reads mapping and counting. But please make sure on two things:
    First, you use the same version of reference genome at the TopHat step and in your TranscriptDb object.
    Second, you specify the right parameters in the reads counting step. They are different for single- vs paired-end data. The workflow example is for paired-end data. Single end data are treated differently:

    flag <- scanBamFlag(isNotPrimaryRead=FALSE, isProperPair=NA)
    param <- ScanBamParam(flag=flag)
    gnCnt <- summarizeOverlaps(exByGn, bamfls, mode="Union", ignore.strand=TRUE, single.end=TRUE, param=param)


    Please check help info for details:
    ?scanBamFlag
    ?summarizeOverlaps

    Comment


    • #3
      Yes I got help in another thread, you are right. Thanks a lot though.
      Here is the other thread just if any one wanted to know more.

      Comment

      Latest Articles

      Collapse

      • 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, Yesterday, 04:51 AM
      0 responses
      8 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 10-01-2024, 07:10 AM
      0 responses
      13 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 09-30-2024, 08:33 AM
      0 responses
      18 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 09-26-2024, 12:57 PM
      0 responses
      16 views
      0 likes
      Last Post seqadmin  
      Working...
      X