Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Too few peaks in MACS2

    Hi everyone, I'm trying to call peaks with macs2 but run into the next warning when doing so:

    "WARNING @ Tue, 14 Jun 2016 20:52:53: Too few paired peaks (0) so I can not build the model! Broader your MFOLD range parameter may erase this error. If it still can't build the model, we suggest to use --nomodel and --extsize 147 or other fixed number instead.
    WARNING @ Tue, 14 Jun 2016 20:52:53: Process for pairing-model is terminated! "

    I am working with treatment and control samples, the number of reads for each is: 18448586 for control and 26581254 for treatment. All the reads are mapped and uniquely paired, as I already filtered them.

    Could anyone explain the cause for the warning? I've tried to find information but haven't find many...Is the error related to the difference in number of reads? I thought macs scaled the samples automatically.

    Thanks in advance!

    Update: So I'm guessing this is the reason:
    "DEBUG @ Thu, 16 Jun 2016 16:00:24: Number of unique tags on + strand: 627266
    DEBUG @ Thu, 16 Jun 2016 16:00:24: Number of peaks in + strand: 19221
    DEBUG @ Thu, 16 Jun 2016 16:00:24: Number of unique tags on - strand: 0
    DEBUG @ Thu, 16 Jun 2016 16:00:24: Number of peaks in - strand: 0
    DEBUG @ Thu, 16 Jun 2016 16:00:24: Chrom chr16 is discarded!"


    And it happens for all the chromosomes. Any ideas on how to fix it?
    Last edited by tamadp; 06-16-2016, 07:11 AM. Reason: update info

  • #2
    Can you post the first 10 or so alignments? Ideally you'll have a few with each orientation.

    Comment


    • #3
      Originally posted by dpryan View Post
      Can you post the first 10 or so alignments? Ideally you'll have a few with each orientation.
      Thanks for the reply, here it is:
      Code:
      D3YGT8Q1:296:C7M2RACXX:6:1105:5592:14554        99      chr1    9997    6       58M1I42M        =       10082   172     CCCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCC
      TAACCCTAACCCTAACCCTTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCC   BBBFFFFFFFFFFIIIIIIIIIIIIIIIIIIFFIBFFFIIBFBFFIBBBBFFBFBBFF<<<BFF<<BBFFB<<<BBF<BBBBB<BBFFFB07BB<<
      B<BBB   AS:i:-12        XS:i:-11        XN:i:4  XM:i:4  XO:i:1  XG:i:1  NM:i:5  MD:Z:0N0N0N0N96 YS:i:-18        YT:Z:CP
      D3YGT8Q1:296:C7M2RACXX:6:1205:20071:45553       99      chr1    9997    6       67M1I19M        =       10371   463     CCCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCC
      TAACCCTAACCCTAACCCTAACCCTAACCCCTAACCCTAACCCTAAC BBBFFFFFFFBBFIBFFFFIIIBFFFFIIFIIIFFIIIIIFFFIIII<FFFFBFFIII<F0<BFB<7BFBF<BBBBFB<BBBFBB<B AS:i:-12        XS:i:-13
              XN:i:4  XM:i:4  XO:i:1  XG:i:1  NM:i:5  MD:Z:0N0N0N0N82 YS:i:-21        YT:Z:CP
      D3YGT8Q1:296:C7M2RACXX:6:1211:19409:52344       99      chr1    9997    6       101M    =       10040   141     CCCCTACCCCTACCCCTACCCCTAACCCTAACCCTAACCCTAACCCTA
      ACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCT   BBBFFFFFFFFFFFIIIIIIIIFFFFIIBFIIIIFFIIIIBFFIII<7FFFF707<BB7B'7BBBBBBBF'<<<BF<<BBFBBFB<7BBB<BBB<BBBFF7   
      AS:i:-20        XS:i:-21        XN:i:4  XM:i:7  XO:i:0  XG:i:0  NM:i:7  MD:Z:0N0N0N0N2A5A5A82   YS:i:-5 YT:Z:CP
      D3YGT8Q1:296:C7M2RACXX:6:1107:16167:27127       99      chr1    10002   1       70M     =       10038   106     AACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCT
      AACCCTAACCCTAACCCTAACC  BBBFFFFFFFFFFIIIIIIIIIIIIIIIIIIIIIIFIIIIIIIIIIIIIIIIIIBFIIIIFFFFFFFFFF  AS:i:0  XS:i:0  XN:i:0  XM:i:0  XO:i:0  XG:i:0  NM:i:0  MD:Z:70 
      YS:i:0  YT:Z:CP
      D3YGT8Q1:296:C7M2RACXX:6:1204:15589:43336       99      chr1    10002   1       94M     =       10020   112     AACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCT
      AACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACC  BBBFFFFFFFFFFIIIIIIIIIIIIIIIIIIIIIIIIIIFIFIIIIIIIIIIIFFIIIIFFFFFFBFBFFFFFFFFFFFBFFFFFBFFFFBFFF  AS:i:0  XS:i:0  
      XN:i:0  XM:i:0  XO:i:0  XG:i:0  NM:i:0  MD:Z:94 YS:i:0  YT:Z:CP
      D3YGT8Q1:296:C7M2RACXX:6:1301:20602:31346       99      chr1    10003   0       5M1D43M1I6M1I24M1I8M    =       10065   129     ACCCTACCCTAACCCTAACCCTAACCCTAACC
      CTAACCCTAACCCTAACCCCTAACCCCTACCCCTAACCCTAACCCTAACCCCTAACC       BBBFFFFFFFFFFFFFFIIFFFIIIIIFFBFFI07F<FI0B'BFF<F0BFF<7B'<B<B'707<BBBFBF<<<7BB7'77<<<B0700B       
      AS:i:-35        XS:i:-30        XN:i:0  XM:i:1  XO:i:4  XG:i:4  NM:i:5  MD:Z:5^A54A26   YS:i:-4 YT:Z:CP
      D3YGT8Q1:296:C7M2RACXX:6:1313:3132:51176        99      chr1    10003   1       34M1I60M        =       10351   384     ACCCTAACCCTAACCCTAACCCTAACCCTAACCCTTAACC
      CTAACCCTAACCCTCACCCTAACCCTTACCCTAACCCTAACCCTAACCCTAACCC BBBFFBFFFFFFFFFFFFFFFIIFFIFFBBFFII7077FFFF07FFB077B<FF'0<B0'7<BFB<<'<0<<'0<BBBBBBBBBBB0<BBBBB7B AS:i:-14
              XS:i:-6 XN:i:0  XM:i:2  XO:i:1  XG:i:1  NM:i:3  MD:Z:53A11A28   YS:i:-2 YT:Z:CP
      D3YGT8Q1:296:C7M2RACXX:6:2103:13849:36280       99      chr1    10003   0       47M3I22M        =       10016   106     ACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTACCCCACCCTACCCTGACCCTGACCCTGACC        BBBFFFFFFFFFFIIIIIIIIIFIIIIIFIFIIIB7BFFIF77BB''7<<''7BBB'7BFFB'7BF<0'7<B        AS:i:-28        XS:i:-21        XN:i:0  XM:i:6  XO:i:1  XG:i:3  NM:i:9  MD:Z:42A3T0A5A5A5A3     YS:i:-24        YT:Z:CP
      D3YGT8Q1:296:C7M2RACXX:6:2212:8605:36420        99      chr1    10003   1       5M1D67M =       10152   225     ACCCTACCCCAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAA        BBBFFFFFFFFFFIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIFIIIIFFIIIFFFFFFBFFF<BBFBFB        AS:i:-13        XS:i:-5 XN:i:0  XM:i:1  XO:i:1  XG:i:1  NM:i:2  MD:Z:5^A4T62    YS:i:0  YT:Z:CP
      D3YGT8Q1:296:C7M2RACXX:6:2313:18665:73233       99      chr1    10003   0       34M1I6M1I13M1I45M       =       10052   140     ACCCTAACCCTAACCCTAACCCTAACCCTAACCCTTAACCCTTAACCCTGACCCTGACCCCTGACCCTAACCCTAACCCTAACCCTAACCCTAACCCTAAC   BBBFFFFFFFFFFIIIIIIIIIIIIIIIIIIIIIIFF<FF7FB<BFBFBB'7BFFBBFFFFBFFF<F<0<BBBB7<BBBB<<BBB7B<BFBB70BBBFBBB   AS:i:-39        XS:i:-28        XN:i:0  XM:i:3  XO:i:3  XG:i:3  NM:i:6  MD:Z:47A6A4A38  YS:i:-5 YT:Z:CP
      D3YGT8Q1:296:C7M2RACXX:6:1107:9298:15688        99      chr1    10004   1       39M     =       10398   433     CCCTAACCCTAACCCTAACCCTAACCCTAACCCTAACCC BBBFFFFFFFFFFIIIFIFFIIIFFIIFFFFFFIBFFFI AS:i:0  XS:i:0  XN:i:0  XM:i:0  XO:i:0  XG:i:0  NM:i:0  MD:Z:39 YS:i:0  YT:Z:CP
      D3YGT8Q1:296:C7M2RACXX:6:1210:18787:54611       99      chr1    10004   2       22M1D79M        =       10261   359     CCCTAACCCTAACCCTAACCCTACCCTAACCCTAACCCTAACCCTACCCCTGACCCTGACCCTGACCCTGACCCTGACCCTGACCCTAACCCTAACCCTAA   BBBFFFFFFFFFFIIIIIIIIFIIIIIIIIIIIFFIIIFFFFFIFFIFFFIBBFFIFBFFFFFBFFFFFBBFFFBBBBFBFB0BBBB77BBBF77BBBBBB   AS:i:-44        XS:i:-42        XN:i:0  XM:i:7  XO:i:1  XG:i:1  NM:i:8  MD:Z:22^A24A4A5A5A5A5A5A19      YS:i:-18        YT:Z:CP

      Comment


      • #4
        So, I didn't realise the format needed to be specified for paired ends and I managed to make it work by running the "-f BAMPE" command. However, macs is still not building the R model, any reason why?

        Comment

        Latest Articles

        Collapse

        • seqadmin
          Current Approaches to Protein Sequencing
          by seqadmin


          Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
          04-04-2024, 04:25 PM
        • seqadmin
          Strategies for Sequencing Challenging Samples
          by seqadmin


          Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
          03-22-2024, 06:39 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by seqadmin, 04-11-2024, 12:08 PM
        0 responses
        30 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-10-2024, 10:19 PM
        0 responses
        32 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-10-2024, 09:21 AM
        0 responses
        28 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-04-2024, 09:00 AM
        0 responses
        52 views
        0 likes
        Last Post seqadmin  
        Working...
        X