Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • vplagnol
    Member
    • Sep 2008
    • 13

    #1

    samtools mpileup using -l or -r

    Dear all,

    I am having some strange issues with samtools mpileup. I am running exactly the same command using either:

    -r 17:45249328-45249329
    or
    -l chr17c.bed

    where chr17c.bed is a one line BED file:
    17 45249328 45249329

    The latter, which uses a bed file, is incredibly slow. We also seem to observe a bug at some rare locations of the genome but we haven't gotten to the bottom of this.

    Is there a real difference between using -l or -r? Why do I observe a different behavior? Can anyone give me dome details on the way samtools works in this case?

    Thank you in advance, and happy to provide more details if it helps,

    Vincent


    PS: the full command line looks like
    samtools mpileup -ugf /ugi/home/shared/vincent/reference_genome/fasta/human_g1k_v37.fasta -D -l chr17c.bed -b my_220_bamfiles.tab
  • dakl
    Member
    • May 2009
    • 15

    #2
    Hi,

    I see the same thing. Looping over a set of ≈40 positions (in hg19) using -r for each position is super fast. Giving a BED or list file with the full set of 40 positions takes ≈ 20 min to process. -r finishes in seconds.

    I would guess that there is a bug somewhere in the code controlling the -l parameter not using the extremely fast random access code that -r is using... just a non-qualified guess hope for a fix in a future version.

    I see this regularly using samtools v0.1.12 and v0.1.18

    BR
    Daniel

    Comment

    • chrisamiller
      Junior Member
      • Jun 2008
      • 7

      #3
      This thread explains the -r vs -l issue. The -l is not using the bam index:

      Comment

      • dakl
        Member
        • May 2009
        • 15

        #4
        To quote Heng in that thread: " Ideally, samtools should be more clever about that."

        +1 to that. It would be awesome if -l also used the index.

        Comment

        Latest Articles

        Collapse

        • kinpict.com
          Reply to 16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
          by kinpict.com
          The part about this topic feels surprisingly grounded, and the details on the page is the bit that made me slow down. I’d keep <a href="https://kinpict.com/">ai family photo generator</a> bookmarked for later.
          Today, 06:37 PM
        • SEQadmin2
          16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
          by SEQadmin2





          NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification,...
          10-30-2026, 06:46 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 11-12-2026, 07:59 AM
        0 responses
        27 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 11-05-2026, 09:25 AM
        0 responses
        35 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 11-03-2026, 11:54 AM
        2 responses
        56 views
        0 reactions
        Last Post kinpict.com  
        Started by SEQadmin2, 10-28-2026, 09:57 AM
        0 responses
        175 views
        0 reactions
        Last Post SEQadmin2  
        Working...