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
        Essential Discoveries and Tools in Epitranscriptomics
        by seqadmin




        The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
        04-22-2024, 07:01 AM
      • seqadmin
        Current Approaches to Protein Sequencing
        by seqadmin


        Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
        04-04-2024, 04:25 PM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by seqadmin, 04-11-2024, 12:08 PM
      0 responses
      59 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-10-2024, 10:19 PM
      0 responses
      57 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-10-2024, 09:21 AM
      0 responses
      51 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-04-2024, 09:00 AM
      0 responses
      55 views
      0 likes
      Last Post seqadmin  
      Working...
      X