Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • pi101
    Junior Member
    • Apr 2011
    • 5

    #1

    problems understanding pileup format

    Hello

    I have been given some data in pileup format. Whilst it is beyond the scope of my work to go into the details of how the reads/alignments etc are generated I think it would be remiss of me not to try and understand a bit more about what is going on.

    I have read the SAM tools manual and explanation of the pileup format but still don't understand a few things. Here is an example taken from the manual


    seq1 272 T 24 ,.$.....,,.,.,...,,,.,..^+. <<<+;<<<<<<<<<<<=<;<;7<&
    seq1 273 T 23 ,.....,,.,.,...,,,.,..A <<<;<<<<<<<<<3<=<<<;<<+
    seq1 274 T 23 ,.$....,,.,.,...,,,.,... 7<7;<;<<<<<<<<<=<;<;<<6
    seq1 275 A 23 ,$....,,.,.,...,,,.,...^l. <+;9*<<<<<<<<<=<<:;<<<<
    seq1 276 G 22 ...T,,.,.,...,,,.,.... 33;+<<7=7<<7<&<<1;<<6<
    seq1 277 T 22 ....,,.,.,.C.,,,.,..G. +7<;<<<<<<<&<=<<:;<<&<
    seq1 278 G 23 ....,,.,.,...,,,.,....^k. %38*<<;<7<<7<=<<<;<<<<<
    seq1 279 C 23 A..T,,.,.,...,,,.,..... ;75&<<<<<<<<<=<<<9<<:<<


    I don't understand the significance of the $ and ^ characters. The docs say they mark the start and end of read segments. Take the first line. Looking at the $, is that saying the that there is a read (the third read) whose last base is position 272 and the last base in that read is '.' which is the character after the $? Also looking at the ^ in row 1, is it also saying that the 24th read starts at position 272 and its first base is '.' which is the character after ^+

    It also says 'The ASCII of the character following `^' minus 33 gives the mapping quality.' What is the mapping quality? Is it the quality of the mapping of that read to the reference genome? So for row 1 the quality is 10 (43 for ascii code for + minus 33) and the mapping quality for row 4 is 16 (49 -33). I assumed this mapping quality information would be in the SAM file.

    If i am looking at variant data, is it safe to discard the $ and ^ data as I don't need to reconstruct the read sequence from pileup? I also don't think I see how I can use the mapping quality of a read segment to assess the quality of my variant data (please correct me if I am wrong!!!) - I can only meaningfully use the base qualities in the next column.

    Also, what is a reference skip which is mentioned in pileup user manual

    Having never used Samtools I am guessing there will be utilities to extract this data directly from the pileup file rather than my writing a custom parser?

    Thank you for your time
  • ninjapanda57
    Junior Member
    • May 2011
    • 3

    #2
    Have you tried using the mpileup using bcftools? it gives you a format that is nice and easy to read.

    Comment

    • yxl
      Junior Member
      • Feb 2011
      • 4

      #3
      How about the ">" or "<" characters in column 5 of the pileup format? I can't seem to find any information about what they signify:

      chr1 4483937 G G 48 0 60 7 .$....,. ?GEDA@D
      chr1 4483938 C C 45 0 60 6 ....,. H9GCFH
      chr1 4483939 T T 48 0 60 7 ....,.^~. JBH?FH@
      chr1 4483940 G G 48 0 60 7 ....,.. I<I:AHC
      chr1 4483941 C C 48 0 60 7 ....,.. I<IC?HC
      chr1 4483942 T T 48 0 60 7 ....,.. JCJC4HF
      chr1 4483943 C C 48 0 60 7 ....,.. J<JF>JF
      chr1 4483944 A A 21 0 60 8 ....,..^~C IAJHEJD?
      chr1 4483945 C C 36 0 60 8 >.>.<>.> JDJHEJE;
      chr1 4483946 T T 36 0 60 8 >.>.<>.> JFJHEJF;
      chr1 4483947 G G 39 0 60 9 >.>.<>.>^~. JAJIEJH;C
      chr1 4483948 T T 42 0 60 10 >.>.<>.>.^~, JEJAEJH;CE
      chr1 4483949 A A 42 0 60 10 >.>.<>.>., J9JEEJG;CJ
      chr1 4483950 A A 42 0 60 10 >.>.<>.>., JCJEEJH;FJ
      chr1 4483951 C C 42 0 60 10 >.>.<>.>., JFJ?EJG;FJ
      chr1 4483952 G G 39 0 60 10 >.>.<>.>., J)JCEJJ;FJ
      chr1 4483953 G G 42 0 60 10 >.>.<>.>., J?J@EJJ;FJ
      chr1 4483954 A A 42 0 60 10 >.>.<>.>., JDJFEJJ;FJ

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
        by SEQadmin2



        Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

        Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
        ...
        10-14-2026, 09:55 AM
      • SEQadmin2
        New Genomics Technologies Take Aim at Long-Standing Limits
        by SEQadmin2


        Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

        We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
        ...
        09-28-2026, 10:25 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Yesterday, 11:13 AM
      0 responses
      16 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, Yesterday, 10:48 AM
      0 responses
      17 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-15-2026, 10:52 AM
      0 responses
      35 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-14-2026, 05:39 AM
      0 responses
      42 views
      0 reactions
      Last Post SEQadmin2  
      Working...