Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Jane M
    Senior Member
    • Aug 2011
    • 239

    #1

    VarScan.v2.3.1 vs VarScan.v2.2.*

    Hello,

    I noticed yesterday the new release of VarScan2. Of course, I tried it on two samples, by changing only the version.
    I wonder what are the changes. I read "VarScan v2.3.1 released with bug fixes", but which ones?
    I read also the change in VCF compatibility. For my problematic, I do not use VCF format, I'm rather interested in the bug fixes.

    I will show you the differences that I got between 2 versions on 2 samples:

    java -Xmx15g -jar VarScan.v2.3.1.jar somatic /data/cd3.mpileup /data/159cd14.mpileup --output-snp /data/VarScan2/varscan.snp --output-indel /data/VarScan2/varscan.indel --min-coverage 10 --min-var-freq 0.2 --min-freq-for-hom 0.75 --normal-purity 0.8 --tumor-purity 1 --p-value 0.05 --somatic-p-value 0.05 --strand-filter 0 --min-avg-qual 20 --min-strands2 0 --min-reads2 0
    134948529 positions in tumor
    134724809 positions shared in normal
    87521347 had sufficient coverage for comparison
    87408822 were called Reference
    178 were mixed SNP-indel calls and filtered
    11041 were removed by the strand filter
    84099 were called Germline
    8338 were called LOH
    8284 were called Somatic
    585 were called Unknown
    0 were called Variant
    java -Xmx15g -jar VarScan.v2.2.10.jar somatic /data/cd3.mpileup /data/159cd14.mpileup --output-snp /data/VarScan2/varscan.snp --output-indel /data/VarScan2/varscan.indel --min-coverage 10 --min-var-freq 0.2 --min-freq-for-hom 0.75 --normal-purity 0.8 --tumor-purity 1 --p-value 0.05 --somatic-p-value 0.05 --strand-filter 0 --min-avg-qual 20 --min-strands2 0 --min-reads2 0
    134948529 positions in tumor
    134724809 positions shared in normal
    87521679 had sufficient coverage for comparison
    87411857 were called Reference
    117 were mixed SNP-indel calls and filtered
    10460 were removed by the strand filter
    82914 were called Germline
    7907 were called LOH
    8066 were called Somatic
    358 were called Unknown
    0 were called Variant
    When I saw that the number of positions with sufficient coverage decreased, I though that the bug mentioned here: seqanswers.com/forums/showthread.php?t=20791 (coverage criteria not satisfied) was solved. Unfortunately, it doesn't seem to be the case: with the new version, I have such results:

    chr1 24334459 A C 6 0 0% A 3 1 25% M Somatic 1.0 0.39999999999999963 0 3 0 1
    Then, I wanted to see if the strand filter was activated, whatever the parameter value, in this new version. As you can see, I didn't ask for the strand filter because I don't want it ; nevertheless, 11041 positions were removed by the strand filter.

    Finally, there is still this issue: tumor_reads1 different from tumor_reads1_plus+tumor_reads1_minus for the INDELs
    chrom position ref var normal_reads1 normal_reads2 normal_var_freq normal_gt tumor_reads1 tumor_reads2 tumor_var_freq tumor_gt somatic_status variant_p_value somatic_p_value tumor_reads1_plus tumor_reads1_minus tumor_reads2_plus tumor_reads2_minus
    chr1 3801133 A -T 12 0 0% A 8 3 27,27% */-T Somatic 1.0 0.09316770186335391 0 11 0 3
    My questions are:
    1. Which bugs have been fixed in this new release?
    2. Do you know a way to avoid the problems I meet? (especially concerning the strand filter, it's a big problem for me - it's easy to handle the coverage criteria)
    3. For Dan Koboldt: do you intend to solve some of these issues? Or do I do something wrong for obtaining such results?


    Thank you in advance for your help and thank you Dan Koboldt for maintaining your tool, which has plenty of advantages, even if I mentioned here issues only
    Jane
    Last edited by Jane M; 08-17-2012, 01:24 AM.
  • Jane M
    Senior Member
    • Aug 2011
    • 239

    #2
    Any ideas? Any suggestions?

    Comment

    • dkoboldt
      Member
      • Mar 2009
      • 62

      #3
      Jane,

      I'm sorry for my delay in replying - I just came across your post. Thank you for being a longtime and active VarScan user!

      I'm trying to include release notes with new VarScan releases that precisely detail what's been changed. The version you asked about (v2.3.1) included that. As you're aware, there were a number of improvements to VCF compatibility, but there were a few specific bug fixes that might affect your work:
      1.) I corrected a bug in the indel-filtering functionality of the "filter" command.
      2.) I made a global fix for "locale parsing" errors encountered when floating-point numbers are represented with a comma (3,1415926) instead of a period (3.1415926); this occasionally happens in European locales.

      In v2.3.2, which was released shortly afterward, I also corrected an issue with the base-quality parsing in reads containing indels.

      Please try to post to the VarScan Help forum if you encounter future issues, as I get e-mailed immediately when issues are posted there:

      Comment

      • Jane M
        Senior Member
        • Aug 2011
        • 239

        #4
        Dear Dan,
        Thank you for your answer ! I will use the VarScan Help forum in the future to get answers faster.

        Comment

        Latest Articles

        Collapse

        • SEQadmin2
          Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
          by SEQadmin2



          CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

          Despite this, “CRISPR helped turn genome editing from a specialized technique into
          ...
          Today, 11:01 AM
        • SEQadmin2
          Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
          by SEQadmin2


          Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

          The systematic characterization of the human proteome has
          ...
          07-20-2026, 11:48 AM
        • SEQadmin2
          Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
          by SEQadmin2



          Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
          ...
          07-09-2026, 11:10 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, Today, 02:55 AM
        0 responses
        8 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-24-2026, 12:17 PM
        0 responses
        12 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-23-2026, 11:41 AM
        0 responses
        12 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-20-2026, 11:10 AM
        0 responses
        24 views
        0 reactions
        Last Post SEQadmin2  
        Working...