Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Galaxy Cufflinks -> cummeRbund?

    Hi,

    I found a useful thread here that is related to what I am doing, but not quite. Galaxy may be missing some files I need? I don't know. Here is what I want to do.

    1. Read in cuffSet object using readCufflinks()
    cuffData = readCufflinks("data")

    2. Once I have this cuffData, I want to draw a volcano plot as follows
    sigGene = csVolcano(genes(cuffData), "treatment1", "treatment2")

    That's it.

    My problems are as follows:
    1. See my attached files. I need to save galaxy output to be recognized by readCufflinks(). However, see my error message. I am going to need all the default files readCufflinks requires. But I don't see where galaxy saved isoforms.fpkm_tracking. I just don't see it? Is it transcript FPKM tracking?

    2. If all I want is to make a volcano plot as mentioned in 2. Can I just load the gene diff and fpkm tracking file for readCufflinks? Or do I need all the output from galaxy?

    3. Right now I am manually saving the output files and renaming them, but is there a better way to output galaxy cufflink output?
    Attached Files

  • #2
    I think I may have found the solution here. However, before I can claim this is solved, can I have some folks in the community confirm some things for me? For example, that transcript differention expression from galaxy output is actually isoform.diff and so on? Why would they name files different like this from cuffdiff output defaults? I am just trying to figure out what is galaxy calling an output and what cummeRbund thinks it is. I am, I think, super close.

    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, Today, 08:47 AM
    0 responses
    12 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-11-2024, 12:08 PM
    0 responses
    60 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 10:19 PM
    0 responses
    59 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 09:21 AM
    0 responses
    54 views
    0 likes
    Last Post seqadmin  
    Working...
    X