library(testthat)
library(AnnotationDbi)
library(customProDB)
suppressPackageStartupMessages(library('BSgenome.Hsapiens.UCSC.hg19'))
context("OutputNovelJun")
load(system.file("extdata/refseq", "splicemax.RData", package="customProDB"))
load(system.file("extdata/refseq", "ids.RData", package="customProDB"))
load(system.file("extdata/refseq", "proseq.RData", package="customProDB"))
txdb <- loadDb(system.file("extdata/refseq", "txdb.sqlite", package="customProDB"))
bedfile <- system.file("extdata/beds", "junctions1.bed", package="customProDB")
jun <- Bed2Range(bedfile,skip=1,covfilter=5)
test_that("JunctionType sets the junctions to the correct types", {
junction_type <- JunctionType(jun, splicemax, txdb, ids)
junctionCountByType = table(junction_type[, 'jun_type'])
expect_equivalent(junctionCountByType["connect a known exon and a region overlap with known exon"], 1)
expect_equivalent(junctionCountByType["connect two non-exon region"], 9)
expect_equivalent(junctionCountByType["known junction"], 46)
})
test_that("OutputNovelJun creates 3 RData files", {
junction_type <- JunctionType(jun, splicemax, txdb, ids)
chrom <- paste('chr',c(1:22,'X','Y','M'), sep='')
junction_type <- subset(junction_type, seqnames %in% chrom)
outf_junc <- paste(tempdir(), '/test_junc.fasta', sep='')
#outf_junc_coding <- paste(tempdir(), '/test_junc_coding.fasta', sep='')
OutputNovelJun(junction_type, Hsapiens, outf_junc, proteinseq)
load(paste(outf_junc, '_jun_anno.RData', sep=''))
if(!file.exists("hg19_jun_anno.rds")) { View(jun_anno) }
expect_equal_to_reference(jun_anno, "hg19_jun_anno.rds")
load(paste(outf_junc, '_coding.RData', sep=''))
if(!file.exists("hg19_junpepcoding.rds")) { View(junpepcoding) }
expect_equal_to_reference(junpepcoding, "hg19_junpepcoding.rds")
load(paste(outf_junc, '_junpep.RData', sep=''))
if(!file.exists("hg19_junpep.rds")) { View(junpep) }
expect_equal_to_reference(junpep, "hg19_junpep.rds")
})
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