SeqCNV running is simple and quick. Only one step to run SeqCNV.
To start, you can run perl run_CNV.pl -h to see usage and options.
Usage: perl
-h Prints this message
-p toolpath: [Required] The path to seqcnv tools (Required tools: separate_chrom.pl, run_seqcnv_allchr.pl, report_from_tsv.pl)
-c control: [Required] A .bam file containing the control sample.
-t case: [Required] A .bam file containg the case sample.
-o out_dir: [Required] The directory for all output (should be seperate for each case/control pair).
-r target: [Required] A .bed file contaning the capture target information.
The folder ‘tumor’ contains candidate break points for each chromosome in case.
The folder ‘control’ contains candidate break points for each chromosome in control.
Files in folder ‘blk’ are blocks converted from candidate break points for case and control. All of them are in binary format. You can not see any effective information if you open them using text editor.
The folder ‘tsv’ contains temporaty output for results.
The file ‘CNV_report.txt’ in ‘report’ is the final result for SeqCNV.
Format for CNV_report.txt
Records in CNV_report.txt follows the format below:
This is the manual for SeqCNV.
Download SeqCNV tool
Please download the file: SeqCNV.tar.gz
Install
To install, you should run:
No need to do “make install”.
Run SeqCNV
SeqCNV running is simple and quick. Only one step to run SeqCNV.
To start, you can run
perl run_CNV.pl -hto see usage and options.An example
Suppose I have installed SeqCNV.
/home/case.bam./home/control.bam./home/target.bed/home/SeqCNV/home/outputThen my running command is
Then I can enjoy my coffee to wait for the results.
Result
Result tree for SeqCNV is:
Format for CNV_report.txt
Records in
CNV_report.txtfollows the format below:chr: The chromosome name for this CNV event.start_pos: Start position for this CNV event.end_pos: End position for this CNV event.length(kb): Length for this CNV event.c_on: Total number of reads in control for this CNV event.t_on: Total number of reads in case for this CNV event.r_on: The value of maximum penalty log-likelihood for thie CNV event.Note if
r_onvalue is below 0.6, type for the CNV event is Copy LOSS. Ifr_onvalue is above 1.4, type for the CNV event is Copy GAIN.