... | ... |
@@ -149,6 +149,7 @@ importFrom(tibble,tibble) |
149 | 149 |
importFrom(tidyr,unnest) |
150 | 150 |
importFrom(utils,installed.packages) |
151 | 151 |
importFrom(utils,packageVersion) |
152 |
+importFrom(utils,read.delim) |
|
152 | 153 |
importFrom(utils,read.table) |
153 | 154 |
importFrom(withr,defer) |
154 | 155 |
useDynLib(NanoMethViz) |
... | ... |
@@ -1,6 +1,6 @@ |
1 | 1 |
#' Create BSSeq object from methylation tabix file |
2 | 2 |
#' |
3 |
-#' @param methy the path to the methylation tabix file. |
|
3 |
+#' @param methy the NanoMethResult object or path to the methylation tabix file. |
|
4 | 4 |
#' @param out_folder the folder to store intermediate files. One file is created |
5 | 5 |
#' for each sample and contains columns "chr", "pos", "total" and |
6 | 6 |
#' "methylated". |
... | ... |
@@ -18,24 +18,27 @@ methy_to_bsseq <- function( |
18 | 18 |
verbose = TRUE |
19 | 19 |
) { |
20 | 20 |
if (is(methy, "NanoMethResult")) { |
21 |
- methy <- NanoMethViz::methy(methy) |
|
21 |
+ methy_path <- NanoMethViz::methy(methy) |
|
22 |
+ } else { |
|
23 |
+ methy_path <- methy |
|
24 |
+ assert_that(fs::file_exists(methy_path)) |
|
22 | 25 |
} |
23 | 26 |
|
24 |
- if (verbose) { |
|
25 |
- timed_log("creating intermediate files...") |
|
26 |
- } |
|
27 |
+ timed_log("creating intermediate files...", verbose = verbose) |
|
27 | 28 |
|
28 |
- files <- convert_methy_to_dss(methy, out_folder) |
|
29 |
+ files <- convert_methy_to_dss(methy_path, out_folder) |
|
30 |
+ |
|
31 |
+ if (is(methy, "NanoMethResult")) { |
|
32 |
+ sample_anno <- NanoMethViz::samples(methy) |
|
33 |
+ } else { |
|
34 |
+ sample_anno <- tibble::tibble(sample = files$sample) |
|
35 |
+ } |
|
29 | 36 |
|
30 | 37 |
if (verbose) { |
31 | 38 |
timed_log("creating bsseq object...") |
32 | 39 |
} |
33 | 40 |
|
34 |
- out <- create_bsseq_from_files( |
|
35 |
- files$file_path, |
|
36 |
- files$sample, |
|
37 |
- verbose = verbose |
|
38 |
- ) |
|
41 |
+ out <- create_bsseq_from_files(files$file_path, sample_anno, verbose = verbose) |
|
39 | 42 |
|
40 | 43 |
if (verbose) { |
41 | 44 |
timed_log("done") |
... | ... |
@@ -72,7 +75,7 @@ convert_methy_to_dss <- function( |
72 | 75 |
#' @importFrom purrr map |
73 | 76 |
#' @importFrom dplyr select distinct arrange mutate |
74 | 77 |
#' @importFrom bsseq BSseq |
75 |
-create_bsseq_from_files <- function(paths, samples, verbose = TRUE) { |
|
78 |
+create_bsseq_from_files <- function(paths, sample_anno, verbose = TRUE) { |
|
76 | 79 |
readr::local_edition(1) # temporary fix for vroom bad value |
77 | 80 |
read_dss <- purrr::partial( |
78 | 81 |
read_tsv, |
... | ... |
@@ -84,6 +87,8 @@ create_bsseq_from_files <- function(paths, samples, verbose = TRUE) { |
84 | 87 |
) |
85 | 88 |
) |
86 | 89 |
|
90 |
+ samples <- sample_anno$sample |
|
91 |
+ |
|
87 | 92 |
if (verbose) { |
88 | 93 |
timed_log("reading in parsed data...") |
89 | 94 |
} |
... | ... |
@@ -145,9 +150,7 @@ create_bsseq_from_files <- function(paths, samples, verbose = TRUE) { |
145 | 150 |
sampleNames = samples |
146 | 151 |
) |
147 | 152 |
|
148 |
- SummarizedExperiment::colData(result) <- S4Vectors::DataFrame( |
|
149 |
- sample = samples |
|
150 |
- ) |
|
153 |
+ SummarizedExperiment::colData(result) <- S4Vectors::DataFrame(sample_anno) |
|
151 | 154 |
|
152 | 155 |
rownames(SummarizedExperiment::colData(result)) <- samples |
153 | 156 |
|
... | ... |
@@ -94,9 +94,11 @@ assert_has_columns <- function(x, cols) { |
94 | 94 |
} |
95 | 95 |
} |
96 | 96 |
|
97 |
-timed_log <- function(...) { |
|
97 |
+timed_log <- function(..., verbose = TRUE) { |
|
98 | 98 |
time_stamp <- paste0("[", format(Sys.time(), "%Y-%m-%d %H:%M:%S"), "] ") |
99 |
- message(time_stamp, ...) |
|
99 |
+ if (verbose) { |
|
100 |
+ message(time_stamp, ...) |
|
101 |
+ } |
|
100 | 102 |
} |
101 | 103 |
|
102 | 104 |
gene_pos_range <- function(nmr, gene) { |
... | ... |
@@ -1,11 +1,24 @@ |
1 | 1 |
test_that("methy_to_bsseq works", { |
2 | 2 |
# setup |
3 | 3 |
nmr <- load_example_nanomethresult() |
4 |
- bss <- methy_to_bsseq(NanoMethViz::methy(nmr)) |
|
4 |
+ bss <- methy_to_bsseq(nmr) |
|
5 | 5 |
|
6 | 6 |
# test |
7 |
+ expect_no_error(methy_to_bsseq(methy(nmr))) |
|
7 | 8 |
expect_true(is(methy_to_bsseq(nmr), "BSseq")) |
8 | 9 |
expect_equal(ncol(bss), 6) |
10 |
+ expect_equal( |
|
11 |
+ nrow(SummarizedExperiment::colData(bss)), |
|
12 |
+ nrow(NanoMethViz::samples(nmr)) |
|
13 |
+ ) |
|
14 |
+ expect_equal( |
|
15 |
+ ncol(SummarizedExperiment::colData(bss)), |
|
16 |
+ ncol(NanoMethViz::samples(nmr)) |
|
17 |
+ ) |
|
18 |
+ expect_equal( |
|
19 |
+ colnames(SummarizedExperiment::colData(bss)), |
|
20 |
+ colnames(NanoMethViz::samples(nmr)) |
|
21 |
+ ) |
|
9 | 22 |
}) |
10 | 23 |
|
11 | 24 |
test_that("bsseq_to_* works", { |