Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • ViralFusionSeq Confusion

    Hello everyone,

    I am trying to using ViralFusionSeq to discover viral integration events in various types of sequencing data (both RNA and DNA-seq). I have successfully gotten the program and all of its dependencies installed and configured, but am running into some difficulty in adapting it from the example data to function with our own. Specifically, I'm a bit at a loss when it comes to the Clipped Sequence and Mapped Sequence keywords, and the Viral ORF's for the RP method. The trouble is that I am hoping to run the program against a full viral database rather than against a single viral sequence. I had initially hoped the change would be as simple as removing these sections from the config file, but this causes the program to fail outright as soon as it reaches the Clipped Seq module.

    In short, is there a way to get VFS to search through a database automatically rather than having to explicitly pass each virus of interest as a parameter (not feasible when talking about thousands to hundreds of thousands of viruses)? Any assistance or advice would be greatly appreciated.

    Sincerely,
    Jason Kost

  • #2
    Hi Jason,

    Thanks for your interest in using ViralFusionSeq and I apologize that you could not run stock VFS against a whole virus database.

    I am currently occupied in other projects so I could not modify the sourcecode in person. In your situtation, I would suggest writing a script to map your reads onto your viral database and extract those Reference_name you would like to analyze and input those as keywords. Having said that, you might remove those specific keywords from the example config files and leave "virus" there, which should works.
    Marco

    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 on Modified Bases...
      Yesterday, 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
    54 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 10:19 PM
    0 responses
    50 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 09:21 AM
    0 responses
    44 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