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  • Control-FREEC: mouse WES data, with control

    Hi,

    I am using control-FREEC to analyze a few mouse WES samples to get the CNVs.
    I went through the manual and created config_ctrl file as suggested in the manual and the previous posts here, but I still encounter one error message and I couldn't figure out why.
    Greatly appreciate if anyone can help me with it. Thanks a lot in advance!

    Code:
    Control-FREEC v7.2 : calling copy number alterations and LOH regions using deep-sequencing data
    MT-mode using 6 threads
    ..Minimal CNA length (in windows) is 4
    ..Breakpoint threshold for segmentation of copy number profiles is 0.8
    ..Polynomial degree for "ReadCount ~ GC-content" or "Sample ReadCount ~ Control ReadCount" is 3
    ..telocenromeric set to 50000
    ..FREEC is not going to output normalized copy number profiles into a BedGraph file (for example, for visualization in the UCSC GB). Use "[general] BedGraphOutput=TRUE" if you want a BedGraph file
    ..FREEC is going to adjust profiles for a possible contamination by normal cells
    ..set contaminationAdjustment=FALSE if you don't want to use this option because you think that there is no contamiantion of your tumor sample by normal cells (e.g., it is a cell line, or it non-cancer DNA used without a control sample)
    ..FREEC is going to evaluate contamination by normal cells
    ..Note, the Coefficient Of Variation won't be used since "window" = 8000 was set
    ..Step:	2500
    ..Output directory:	/rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/FreeC/pilot/working/results/
    ..Sample file:	/rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/sequenza/pilot/0001-samtools-prep/output/S08.pileup.gz
    ..Sample input format:	pileup
    ..Control file:	/rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/sequenza/pilot/0001-samtools-prep/output/S01.pileup.gz
    ..Input format for the control file:	pileup
    ..File with chromosome lengths:	/rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/FreeC/pilot/control/mouse_chr_y.len
    ..uniqueMatch = FALSE
    ..average ploidy set to 2
    ..break-point type set to 4
    Warning: Parameter '[general] noisyData=true' will not have effect since FREEC won't use BAF information to correct predicted copy numbers
    ..minimal number of reads per window in the control sample is set to 50
    ..File /rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/FreeC/pilot/control/mouse_chr_y.len was read
    ..Starting reading /rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/sequenza/pilot/0001-samtools-prep/output/S08.pileup.gz
    PROFILING [tid=140174374557472]: /rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/sequenza/pilot/0001-samtools-prep/output/S08.pileup.gz read in 155 seconds [fillMyHash]
    260591386 lines read..
    47399307 reads used to compute copy number profile
    printing counts into /rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/FreeC/pilot/working/results/S08.pileup.gz_sample.cpn
    ..Window size:	8000
    ..File /rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/FreeC/pilot/control/mouse_chr_y.len was read
    ..Starting reading /rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/sequenza/pilot/0001-samtools-prep/output/S01.pileup.gz
    PROFILING [tid=140174374557472]: /rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/sequenza/pilot/0001-samtools-prep/output/S01.pileup.gz read in 202 seconds [fillMyHash]
    278748064 lines read..
    68986773 reads used to compute copy number profile
    printing counts into /rsrch1/epi/scheet/PROJECTS/Kadara_Mouse/working/FreeC/pilot/working/results/S01.pileup.gz_control.cpn
    ..will remove all windows with read count in the control less than 50
    Initial guess for polynomial:
    Error: variation in read count per window is too small.
    Unable to proceed..
    Thanks a lot!!!
    Yihua

  • #2
    Apologies if it's unrelated, but since nobody replied yet I just post it:
    I see there is a "sequenza" mentioned in you file path.
    Didn't sequenza worked out for the exome comparison with control?

    Comment


    • #3
      Hi, ffavero,

      Sequenza works out fine for the normal vs. control. But the results from genome wide plot and chromosome-wise plot are inconsistent, which cause me concerned.
      So I was thinking of trying FreeC.

      Yihua

      Comment


      • #4
        Hi Yihua,
        what do you mean by inconsistent? Sorry if I drag the thread even more off-topic.
        If you have time to describe the problem I might be able to fix the issue in sequenza (if you want).
        Best
        Francesco

        Comment


        • #5
          Hello Francesco,

          Sorry for the late reply, I haven't been working on some other projects and now just went back and check what I found the "inconsistence" issue in Sequenza. FYI, I didn't carefully go through the paper so I don't know if I misread some part. If I did, it will be really good that you can point it out and help me with Sequenza.

          So I ran those recommended processes in Sequenza user guide. But I did two plots, one is the "chromosome.view" function, another is the "sequenza.results" function. I assume the genome wide CN calls from both functions should be very similar. However, when I ran the my mouse WES data sample, I found that the CNV calls from these two functions are different.

          Hope you can provide me some insight about better using Sequenza! I really like it is step-by-step user guide!

          Thanks!

          Yihua

          Comment

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