Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • alexbmp
    Member
    • Oct 2011
    • 30

    Setting @RG ID, PL, PU, LB, SM etc.

    Hi all

    When running bwa, I want the read group information to be implanted so that I can use the information in picard and GATK later.

    I wrote down what I understood. Please point out if you think I'm wrong about something

    -I see that RG ID is a read discriminator; even when BAM files are merged thanks to RG ID the reads can be discriminated.

    -RG PL seems to be the sequencing machine platform (e.g. illumina).

    -RG LB seems to be referred by picard MarkDuplicates so PCR duplicates in each sequencing library can be removed.


    Now, I mention here that I read SAM-format spec.s.
    ( http://samtools.sourceforge.net/SAM1.pdf )
    However, I'm confused about 2 more things.

    1. Why does RG PU exist in the first place? Currently, the only reason I put in PU is to avoid picard and GATK errors later.

    2. What's the difference between RG ID and RG SM? Is there any sutble difference between the two?

    Thanks for your replies in advance!


    Have a great day
  • maubp
    Peter (Biopython etc)
    • Jul 2009
    • 1544

    #2
    SM is sample, and one sample might be sequenced twice, for instance with 454 and Illumina, which would be two read groups with different platform. At least, that is my understanding.

    Comment

    • alexbmp
      Member
      • Oct 2011
      • 30

      #3
      Thank you for your reply. So although I don't need the information right now, it can be important in some other pipeline I might take, right?

      Originally posted by maubp View Post
      SM is sample, and one sample might be sequenced twice, for instance with 454 and Illumina, which would be two read groups with different platform. At least, that is my understanding.

      Comment

      Latest Articles

      Collapse

      • GATTACAT
        Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by GATTACAT
        Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
        07-01-2026, 11:43 AM
      • SEQadmin2
        Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by SEQadmin2


        I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

        Here are nine questions we think about, in roughly the order they matter, before...
        06-18-2026, 07:11 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 07-02-2026, 11:08 AM
      0 responses
      11 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-30-2026, 05:37 AM
      0 responses
      13 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-26-2026, 11:10 AM
      0 responses
      20 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-17-2026, 06:09 AM
      0 responses
      54 views
      0 reactions
      Last Post SEQadmin2  
      Working...