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Copy number analysis of shallow whole genome sequencing

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CopyNumber analysis from sequence data using seqDNAcopy

Branch: master

Copynumber analysis for sequence based assays (shallow Whole Genome sequncing, or targeted assays) using seqDNAcopy package from seshanv@mskcc.org

N.B. these script use a forked version of seqDNAcopy which has been updated to work with both human and mouse.

Normals

  • IDT_Exome_v2_Normal: ~/Work/Pipelines/SeqCNV

getPairedCounts

getPairedCounts [options] TUMOR=tumor.bam NORMAL=normal.bam

Compute the binned counts from a sample pair. By default normalize
for library size and GC variation.

Options:

TUMOR=File          TUMOR sample BAM file.  Required.

NORMAL=File         NORMAL sample BAM file.  Required.

GENOME=String       Genome.  Default value: hg19. Possible values: {hg19, mm10}

ODIR=Directory      Directory to write output files.  Default: "."

GCNORM=Boolean      Flag controlling whether GC-normalization is done.
                    Default value: TRUE. Possible Values: {FALSE, TRUE}

SAMPLEID=String     Sample Id. If not specified then will form an id from
                    "cleaned" version of tumor and normal bam filenames

seqSegment

USAGE: seqSegment [options] COUNTS=counts.rda

Run the CBS algorithm on binned counts from getPairedCounts.

Options:

COUNTS=File                   Counts file created by getPairedCounts (Rdata file).  Required.

ODIR=Directory                Directory to write output files.  Default value: "."

BINSIZE=(Integer|enum)        Size of bins in base pairs. Default value: "auto". Possible
                              values: {auto,INTEGER}. If set to "auto" then determine bin
                              size dynamically

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Copy number analysis of shallow whole genome sequencing

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