Last data update: 2014.03.03

R: Read in the structural variations predicted by SoftSearch
readSoftSearchR Documentation

Read in the structural variations predicted by SoftSearch

Description

Reading the structural variations predicted by SoftSearch, filtering low quality predictions and merging overlapping predictions.

Usage

    readSoftSearch(file="", regSizeLowerCutoff=100, readsSupport=3, 
                   method="softSearch", regSizeUpperCutoff=1000000, 
                   softClipsSupport=3, ...) 

Arguments

file

the file containing the prediction results of SoftSearch.

regSizeLowerCutoff

the minimum size for a structural variation to be read.

regSizeUpperCutoff

the maximum size for a structural variation to be read.

readsSupport

the minimum read pair support for a structural variation to be read.

method

a tag to assign to the result of this function.

softClipsSupport

the minimum soft clip support for a structural variation to be read.

...

parameters passed to read.table

Details

The predicted SVs could be further filtered by the number of reads supporting the occurence of a specific SV, and the predicted size of SVs to get more reliable SVs. See our paper for more details.

Value

A list with the following components:

del

the deletions predicted by SoftSearch.

dup

the duplications predicted by SoftSearch.

inv

the inversions predicted by SoftSearch.

Author(s)

Wen Yao

Examples


    softSearch <- readSoftSearch(system.file("extdata/ZS97.softsearch",package="intansv"))
    str(softSearch)

Results


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> library(intansv)
Loading required package: plyr
Loading required package: ggbio
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
    rbind, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit

Loading required package: ggplot2
Need specific help about ggbio? try mailing 
 the maintainer or visit http://tengfei.github.com/ggbio/

Attaching package: 'ggbio'

The following objects are masked from 'package:ggplot2':

    geom_bar, geom_rect, geom_segment, ggsave, stat_bin, stat_identity,
    xlim

Loading required package: GenomicRanges
Loading required package: S4Vectors
Loading required package: stats4

Attaching package: 'S4Vectors'

The following object is masked from 'package:plyr':

    rename

The following objects are masked from 'package:base':

    colMeans, colSums, expand.grid, rowMeans, rowSums

Loading required package: IRanges

Attaching package: 'IRanges'

The following object is masked from 'package:plyr':

    desc

Loading required package: GenomeInfoDb
Warning message:
replacing previous import 'ggplot2::Position' by 'BiocGenerics::Position' when loading 'ggbio' 
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/intansv/readSoftSearch.Rd_%03d_medium.png", width=480, height=480)
> ### Name: readSoftSearch
> ### Title: Read in the structural variations predicted by SoftSearch
> ### Aliases: readSoftSearch
> 
> ### ** Examples
> 
> 
>     softSearch <- readSoftSearch(system.file("extdata/ZS97.softsearch",package="intansv"))
>     str(softSearch)
List of 3
 $ del:'data.frame':	47 obs. of  4 variables:
  ..$ chromosome: chr [1:47] "chr05" "chr05" "chr05" "chr05" ...
  ..$ pos1      : num [1:47] 366291 1491176 1802871 2986918 14116786 ...
  ..$ pos2      : num [1:47] 367937 1491595 1803476 2987435 14129776 ...
  ..$ size      : num [1:47] 1646 419 605 517 12990 ...
 $ dup: NULL
 $ inv:'data.frame':	4 obs. of  4 variables:
  ..$ chromosome: chr [1:4] "chr05" "chr05" "chr10" "chr10"
  ..$ pos1      : num [1:4] 3106094 18770855 2460956 7020583
  ..$ pos2      : num [1:4] 3106380 19669803 2512674 7021271
  ..$ size      : num [1:4] 286 898948 51718 688
 - attr(*, "method")= chr "softSearch"
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>