Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • adameur
    Member
    • Nov 2009
    • 23

    #1

    SOLiD annotations in SAM/BAM output

    Hi all,

    I'm trying to extract info from aligned reads in the SAM/BAM format about location of SNPs and mismatches in the reference genome. Previously I've done this through the annotated GFF files but it seems like they are not created by Bioscope 1.2. What I'm after is some equivalent of the 's' attribute in the GFF lines. I've looked at the SAM output but couldn't figure out how to extract such info. Does anyone have an idea? Or can I somehow get Bioscope to write GFFs again?

    /Adam
  • svl
    Member
    • Sep 2009
    • 43

    #2
    The pileup command in SAMTOOLS can be used for generating position-based output and consensus/indel calling.


    update:
    I now realize you probably mean something else, the column with "a comma-separated string representing annotations on the sequence". In that case you better find someone that uses Bioscope

    -Stef
    Last edited by svl; 08-17-2010, 02:32 AM.

    Comment

    • adameur
      Member
      • Nov 2009
      • 23

      #3
      Yes, that's the annotation string I'm looking for. I should have been clearer in the original post, sorry for that.

      /Adam

      Comment

      • KevinLam
        Senior Member
        • Nov 2009
        • 204

        #4
        do u still have the old bioscope installer?
        it installs locally quite alright.
        there's this python script
        ./corona-1.0.1r0-4/bin/mates2gff.py

        Not too sure but suspect its what you need to convert ma file to gff

        #!/usr/bin/python
        __doc__="""
        Converts a mates file to a GFF file for visualization in Apollo.
        """
        import sys

        class Mates2Gff( CommandLineApp ):
        """
        Converts a mates file to a GFF file for downstream analysis and visualization.
        http://kevin-gattaca.blogspot.com/

        Comment

        • adameur
          Member
          • Nov 2009
          • 23

          #5
          Thanks, I tried the old bioscope code but failed to run the gff conversion..

          But now I have an alternative solution. I modified the .ma header lines to match the output produced by corona_lite and then ran the old versions of MaToGff.sh and AnnotateChanges.sh. I know it's an ugly fix but at least it seems to work

          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
            ...
            07-31-2026, 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, Yesterday, 10:13 AM
          0 responses
          13 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-31-2026, 02:55 AM
          0 responses
          26 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-24-2026, 12:17 PM
          0 responses
          20 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-23-2026, 11:41 AM
          0 responses
          19 views
          0 reactions
          Last Post SEQadmin2  
          Working...