Description Usage Format Details Source
The “seqz” file is produced by sequenza-utils
and
typically has the file extension ‘.seqz’. The data here is
representative of a seqz file derived from an exome-sequenced tumor sample,
such as could be obtained from TCGA.
1 |
A data frame with 53937 rows and 14 columns:
[,1] | chromosome | Chromosome name |
[,2] | position | Base position |
[,3] | base.ref | Base in the reference genome |
[,4] | depth.normal | Read depth in the normal sample |
[,5] | depth.tumor | Read depth in the tumor sample |
[,6] | depth.ratio | Ratio of depth.tumor and depth.normal |
[,7] | Af | A-allele frequency in the tumor sample |
[,8] | Bf | B-allele frequency in the tumor sample, in heterozygous positions only |
[,9] | zygosity.normal | Zygosity of the normal sample: "hom" for homozygous or "het" for heterozygous |
[,10] | GC.percent | % GC content |
[,11] | good.reads | Number of reads from the tumor sample which pass the quality threshold |
[,12] | AB.normal | Base(s) found in the normal sample, sorted by allele frequency if more than one |
[,13] | AB.tumor | Base(s) found in the tumor sample but not in the normal specimen, with their observed frequencies, separated by colons |
[,14] | tumor.strand | Identical to AB.tumor but indicating, for
each variant base, the fraction of reads
oriented in the forward direction |
example.seqz
can be loaded in the standard R way via
data(example.seqz)
, or it can be read from a text file using
read.seqz
. The former is useful for examples and testing,
whereas the latter is representative of the standard workflow.
This is derived from a TCGA specimen, but has been scrambled to anonymize the source. The reference genome is hg19. The GC content was calculated in 50-base windows.
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