Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • batman
    Member
    • Sep 2009
    • 14

    How does picard determine reads that map to correct strand?

    Hi,

    I am curios to know how picards CollectRnaSeqMetrics tool determines the correct strand a read maps to. My guess is that it will look at the annotation supplied and determines the correctness of the strand based on that. Can anyone confirm?
  • ak352
    Junior Member
    • Sep 2013
    • 7

    #2
    According to http://picard.sourceforge.net/picard...#RnaSeqMetrics, the input is a SAM (Sequence Alignment Format) file.

    This file contains the annotation related to on which strand and on which location on the reference a read is mapped to.
    Refer to page 4 (0x10 bit of the flag field) of SAM format specification. I suppose the easiest way would be to just read this flag.
    Please answer my unsolved question - http://seqanswers.com/forums/showthread.php?t=33740

    Comment

    • batman
      Member
      • Sep 2009
      • 14

      #3
      Hi ak352,

      Thanks for the reply. But I think I should have rephrased the question. What I needed to know was how can CollectRnaSeqMatrics know the correct strand when it calculates the field INCORRECT_STRAND_READS. i.e. how does it know the specific strand the original read came from, say when doing unstranded rnaseq mapping?

      Comment

      • kmcarr
        Senior Member
        • May 2008
        • 1181

        #4
        Originally posted by batman View Post
        Hi ak352,

        Thanks for the reply. But I think I should have rephrased the question. What I needed to know was how can CollectRnaSeqMatrics know the correct strand when it calculates the field INCORRECT_STRAND_READS. i.e. how does it know the specific strand the original read came from, say when doing unstranded rnaseq mapping?
        The "(IN)CORRECT_STRAND_READS" is only meaningful and appropriate if your RNA-Seq library was prepared using a strand-specific method and you supplied the correct STRAND_SPECIFICITY parameter when running CollectRnaSeqMatrics.

        If your library was prepared with an non-strand-specific protocol then Picard CollectRnaSeqMatrics can't know whether a read is incorrectly mapped. If your reads are not from a strand-specific library you should specify "STRAND_SPECIFICITY=NONE" when running CollectRnaSeqMatrics and the output will report "0" for both "CORRECT_STRAND_READS" and "INCORRECT_STRAND_READS". See the Picard Metrics Definitions here.

        Comment

        • batman
          Member
          • Sep 2009
          • 14

          #5
          Thanks kmcarr,

          Assuming I correctly specify the STRAND_SPECIFICITY, then does picard verify the correctness of strands against the annotation provided in REF_FLAT option? My current thinking is that it is impossible to verify the correctness of strandedness of any region not in this annotation.

          Comment

          • kmcarr
            Senior Member
            • May 2008
            • 1181

            #6
            Originally posted by batman View Post
            Thanks kmcarr,

            Assuming I correctly specify the STRAND_SPECIFICITY, then does picard verify the correctness of strands against the annotation provided in REF_FLAT option? My current thinking is that it is impossible to verify the correctness of strandedness of any region not in this annotation.
            Sorry, I don't know what it does with reads not overlapping an annotated gene. You could query the developers or run some tests yourself using simulated data where the count of correctly, incorrectly and non-annotated alignments is known to see what the output looks like.

            Comment

            Latest Articles

            Collapse

            • 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
            • SEQadmin2
              Cancer Drug Resistance: The Lingering Barrier to Rising Survival
              by SEQadmin2



              Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

              There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
              07-08-2026, 05:17 AM

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by SEQadmin2, Yesterday, 12:17 PM
            0 responses
            13 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 07-23-2026, 11:41 AM
            0 responses
            13 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 07-20-2026, 11:10 AM
            0 responses
            23 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 07-13-2026, 10:26 AM
            0 responses
            37 views
            0 reactions
            Last Post SEQadmin2  
            Working...