Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • SV vcf outputs to bedpe

    Hi all,

    Does anybody have scripts to convert:

    breakdancer output ----> bedpe

    delly vcf ---> bedpe

    Thank you all in advance!!! cheers

  • #2
    It's not the cleanest approach for your purposes but you can do:

    breakdancer->VCF using https://github.com/PapenfussLab/sv_b...kdancer2vcf.py

    Then convert the VCFs (DELLY & BreakDancer) into R break-end GRanges object using https://github.com/PapenfussLab/Stru...iantAnnotation

    Then convert the break-end GRanges to bedpe similar to how it is done in:

    GRIDSS: the Genomic Rearrangement IDentification Software Suite - File not found · PapenfussLab/gridss


    That said, I've found this approach quite powerful for SV analysis as you can perform annotation and filtering on the GRanges objects in R in just a few couple of code.
    Last edited by dcameron; 03-29-2017, 04:08 PM.

    Comment


    • #3
      Thnx!

      Actually, I tried a week ago the python script for breakdancer, but this is not what I was looking for.

      By the way GRanges is a good approach

      Comment


      • #4
        Originally posted by 2nelly View Post
        By the way GRanges is a good approach
        It's been by far the easiest approach I've found to SV annotation. My package isn't part of bioconductor yet as my linking between the two break-end for each breakpoint is just a $partner column and I suspect the BioConductor powers that be would want more S4 classes.

        The real value in the package is in the GRanges conversion that works for most popular callers^, and findBreakpointOverlaps() for SV call matching.

        ^ I've tested breakdancer, cortex, crest, delly, gasv, gridss, hydra, lumpy, manta, pindel, socrates, tigra. It would be really nice if more callers adhered to the VCF specifications when they output VCF.

        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, 10-02-2024, 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