# Bioinformatics ------------------------------------------------------------
context("Bioinfo")
test_that("Test primer match ", {
pos <- get_primer_position("ATT",c("ATTTTCGGG", "AGTTTCGGG"), orientation="fwd", mismatches=0)
write_tsv(pos, "output/primer_position.tsv")
})
test_that("Test fasta read ", {
df <- fasta_read("mothur.database.fas")
head(df)
})
test_that("Test fastq subsample ", {
fastq_subsample("fastq", 500, random=TRUE)
})
test_that("Test pr2 taxo check ", {
pr2_taxo <- read_tsv("taxo2.txt")
pr2_taxo_check(pr2_taxo, "output")
})
test_that("Test Mothur database to Phyloseq ", {
phyloseq_import_mothur("mothur.database", "mothur_samples.tsv", 6)
})
test_that("Test dada2 assgin ", {
ref_file_name <- "C:/Data Biomol/RNA/_PR2/versions/4.10.0/pr2_version_4.10.0_dada2.fasta"
seq_file_name <- "output/otu_taxo.fasta"
dada2_assign(seq_file_name, ref_file_name)
})
test_that("Test kmer ", {kmer_test <- kmer("CATATGCTTGTCTCAAAGTTAAGCCATGCATGTCTAAGTATAACCGTTATACTGGGAAACTGCGAATGGCTCATTAAATCAGTTAT",
kmer_width = 15)
write_tsv(kmer_test, "output/kmer_test.txt")
})
test_that("Test kmer set ", {
seq_set <- read_tsv("pr2_sample.txt")%>% select(seq_name=pr2_accession, sequence, sequence_length) %>%
filter((sequence_length > 1500)&(sequence_length < 1800))
kmer_set_test <- kmer_set(seq_set$seq_name, seq_set$sequence, kmer_width = 8)
write_tsv(kmer_set_test, "output/kmer_set_test.txt")
})
test_that("Test fasta_filter ", {
fasta_filter("protein.faa", min_length=100, max_length=10000, type="AA", max_ambig=5)
})
test_that("Test write_fasta ", {
# This generates an error whch I do not understand. The function works perfectly...
# Error in x[[method]](...) :
# tentative d'appliquer un objet qui n'est pas une fonction
# Calls: <Anonymous> ... <Anonymous> -> o_apply -> lapply -> FUN -> <Anonymous>
df <- read_xlsx("otu_sequences.xlsx")
fasta_write(df,"output/otu_taxo.fasta", compress=FALSE, taxo_include=TRUE, taxo_separator="|")
fasta_write(df,"output/otu_no_taxo.fasta", compress=FALSE, taxo_include=FALSE)
# expect_equal(write_fasta_taxo(df,"output/otu_taxo.fasta", compress=FALSE), TRUE)
})
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