Closed kriemo closed 1 year ago
library(valr) library(dplyr) #> #> Attaching package: 'dplyr' #> The following objects are masked from 'package:stats': #> #> filter, lag #> The following objects are masked from 'package:base': #> #> intersect, setdiff, setequal, union library(microbenchmark) genome <- read_genome("https://hgdownload.soe.ucsc.edu/goldenPath/sacCer3/bigZips/sacCer3.chrom.sizes") ivls <- bed_random( genome, length = 100, n = 1e5, seed = 42 ) bp <- bed_partition(ivls, .depth = n()) bp #> # A tibble: 154,751 × 4 #> chrom start end .depth #> <chr> <int> <int> <int> #> 1 chrI 59 159 1 #> 2 chrI 165 207 1 #> 3 chrI 207 265 2 #> 4 chrI 265 307 1 #> 5 chrI 456 527 1 #> 6 chrI 527 534 2 #> 7 chrI 534 556 3 #> 8 chrI 556 617 2 #> 9 chrI 617 627 3 #> 10 chrI 627 634 2 #> # ℹ 154,741 more rows bgc <- bed_genomecov(ivls, genome) bgc #> # A tibble: 154,751 × 4 #> chrom start end .depth #> <chr> <int> <int> <int> #> 1 chrI 59 159 1 #> 2 chrI 165 207 1 #> 3 chrI 207 265 2 #> 4 chrI 265 307 1 #> 5 chrI 456 527 1 #> 6 chrI 527 534 2 #> 7 chrI 534 556 3 #> 8 chrI 556 617 2 #> 9 chrI 617 627 3 #> 10 chrI 627 634 2 #> # ℹ 154,741 more rows identical(bp, bgc) #> [1] TRUE # 10 million intervals ivls <- bed_random( genome, length = 100, n = 1e7, seed = 42 ) microbenchmark(bed_genomecov(ivls, genome), times = 3, unit = 's') #> Warning in microbenchmark(bed_genomecov(ivls, genome), times = 3, unit = "s"): #> less accurate nanosecond times to avoid potential integer overflows #> Unit: seconds #> expr min lq mean median uq #> bed_genomecov(ivls, genome) 1.653511 1.677021 1.860034 1.700531 1.963296 #> max neval #> 2.22606 3
Created on 2023-10-11 with reprex v2.0.2
Can you run styler::style_pkg()?
styler::style_pkg()
This looks great, thanks for putting it together.
Created on 2023-10-11 with reprex v2.0.2