cmatkhan commited on
Commit
6ff386e
·
1 Parent(s): 25daa63

updating rnaseq data

Browse files
degron_counts.parquet CHANGED
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mnase_fusion_rnaseq_counts.parquet CHANGED
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scripts/dto_preparation.R ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ library(tidyverse)
2
+ library(arrow)
3
+ library(here)
scripts/parse_mahendrawada_rnaseq.R CHANGED
@@ -7,7 +7,7 @@ names(counts_files) = str_extract(counts_files, "GSM\\d+")
7
 
8
  genomic_features = arrow::read_parquet("~/code/hf/yeast_genome_resources/brentlab_features.parquet")
9
 
10
- test_count_df = read_tsv(file.path(count_parent_dir, counts_files[[1]]), col_names = c('target_locus_tag', 'count'))
11
 
12
  find_matching_locus <- function(target, genomic_df) {
13
  match_idx <- which(str_detect(genomic_df$alias, fixed(target)))
@@ -27,16 +27,29 @@ find_matching_locus <- function(target, genomic_df) {
27
  }
28
 
29
  alias_matched_locus_tags <- test_count_df %>%
 
 
 
 
 
 
 
 
 
 
 
 
30
  left_join(genomic_features,
31
  by = c('target_locus_tag' = 'locus_tag')) %>%
32
  filter(is.na(chr), str_detect(target_locus_tag, "^__", negate=TRUE)) %>%
33
- select(target_locus_tag) %>%
34
- mutate(orig_locus_tag = target_locus_tag) %>%
35
  mutate(target_locus_tag = str_replace_all(target_locus_tag, "\\(|\\)", "_")) %>%
36
  mutate(match_info = map(target_locus_tag, ~find_matching_locus(.x, genomic_features))) %>%
37
  unnest(match_info) %>%
38
- # The following had multiple matches and are determined by hand
39
- mutate(target_locus_tag = case_when(
 
 
40
  orig_locus_tag == "LSR1" ~ "YNCB0019C",
41
  orig_locus_tag == "SCR1" ~ "YNCE0024W",
42
  orig_locus_tag == "snR18" ~ "YNCA0003W",
@@ -47,14 +60,9 @@ alias_matched_locus_tags <- test_count_df %>%
47
  orig_locus_tag == "snR5" ~ "YNCO0028W",
48
  orig_locus_tag == "snR6" ~ "YNCL0006W",
49
  orig_locus_tag == "snR8" ~ "YNCO0026W",
50
- .default = target_locus_tag)) %>%
51
- select(orig_locus_tag, locus_tag)
52
-
53
- locus_tag_map = test_count_df %>%
54
- filter(target_locus_tag %in% genomic_features$locus_tag) %>%
55
- select(target_locus_tag) %>%
56
- dplyr::rename(orig_locus_tag = target_locus_tag) %>%
57
- mutate(locus_tag = orig_locus_tag) %>%
58
  bind_rows(alias_matched_locus_tags) %>%
59
  left_join(select(genomic_features, locus_tag, symbol)) %>%
60
  dplyr::rename(target_locus_tag = locus_tag,
@@ -286,32 +294,32 @@ metadata_with_counts_meta_with_sample_id$degron =
286
  dplyr::relocate(sra_accession, gsm_accession,
287
  regulator_locus_tag, regulator_symbol)
288
 
289
- # for(n in names(metadata_with_counts_meta_with_sample_id)){
290
- # meta = list(
291
- # path = file.path("/home/chase/code/hf/mahendrawada_2025",
292
- # paste0(n, "_counts_meta.parquet")),
293
- # data = metadata_with_counts_meta_with_sample_id[[n]]
294
- # )
295
- #
296
- # counts = list(
297
- # path = file.path("/home/chase/code/hf/mahendrawada_2025",
298
- # paste0(n, "_counts.parquet")),
299
- # data = counts_parsed_list[[n]]$counts
300
- # )
301
- #
302
- # arrow::write_parquet(
303
- # meta$data,
304
- # meta$path,
305
- # compression = "zstd",
306
- # write_statistics = TRUE)
307
- #
308
- # arrow::write_parquet(
309
- # counts$data,
310
- # counts$path,
311
- # chunk_size = 7036,
312
- # compression = "zstd",
313
- # write_statistics = TRUE,
314
- # use_dictionary = c(
315
- # sra_accession = TRUE))
316
- # }
317
 
 
7
 
8
  genomic_features = arrow::read_parquet("~/code/hf/yeast_genome_resources/brentlab_features.parquet")
9
 
10
+ test_count_df = read_tsv(file.path(count_parent_dir, counts_files[[1]]), col_names = c('orig_locus_tag', 'count'))
11
 
12
  find_matching_locus <- function(target, genomic_df) {
13
  match_idx <- which(str_detect(genomic_df$alias, fixed(target)))
 
27
  }
28
 
29
  alias_matched_locus_tags <- test_count_df %>%
30
+ mutate(target_locus_tag = case_when(
31
+ orig_locus_tag == "LSR1" ~ "YNCB0019C",
32
+ orig_locus_tag == "SCR1" ~ "YNCE0024W",
33
+ orig_locus_tag == "snR18" ~ "YNCA0003W",
34
+ orig_locus_tag == "snR19" ~ "YNCN0005C",
35
+ orig_locus_tag == "snR3" ~ "YNCJ0030W",
36
+ orig_locus_tag == "snR39" ~ "YNCG0014C",
37
+ orig_locus_tag == "snR4" ~ "YNCE0019W",
38
+ orig_locus_tag == "snR5" ~ "YNCO0028W",
39
+ orig_locus_tag == "snR6" ~ "YNCL0006W",
40
+ orig_locus_tag == "snR8" ~ "YNCO0026W",
41
+ .default = orig_locus_tag)) %>%
42
  left_join(genomic_features,
43
  by = c('target_locus_tag' = 'locus_tag')) %>%
44
  filter(is.na(chr), str_detect(target_locus_tag, "^__", negate=TRUE)) %>%
45
+ select(orig_locus_tag, target_locus_tag) %>%
 
46
  mutate(target_locus_tag = str_replace_all(target_locus_tag, "\\(|\\)", "_")) %>%
47
  mutate(match_info = map(target_locus_tag, ~find_matching_locus(.x, genomic_features))) %>%
48
  unnest(match_info) %>%
49
+ select(orig_locus_tag, locus_tag)
50
+
51
+ locus_tag_map = test_count_df %>%
52
+ mutate(locus_tag = case_when(
53
  orig_locus_tag == "LSR1" ~ "YNCB0019C",
54
  orig_locus_tag == "SCR1" ~ "YNCE0024W",
55
  orig_locus_tag == "snR18" ~ "YNCA0003W",
 
60
  orig_locus_tag == "snR5" ~ "YNCO0028W",
61
  orig_locus_tag == "snR6" ~ "YNCL0006W",
62
  orig_locus_tag == "snR8" ~ "YNCO0026W",
63
+ .default = orig_locus_tag)) %>%
64
+ filter(locus_tag %in% genomic_features$locus_tag) %>%
65
+ select(-count) %>%
 
 
 
 
 
66
  bind_rows(alias_matched_locus_tags) %>%
67
  left_join(select(genomic_features, locus_tag, symbol)) %>%
68
  dplyr::rename(target_locus_tag = locus_tag,
 
294
  dplyr::relocate(sra_accession, gsm_accession,
295
  regulator_locus_tag, regulator_symbol)
296
 
297
+ for(n in names(metadata_with_counts_meta_with_sample_id)){
298
+ meta = list(
299
+ path = file.path("/home/chase/code/hf/mahendrawada_2025",
300
+ paste0(n, "_counts_meta.parquet")),
301
+ data = metadata_with_counts_meta_with_sample_id[[n]]
302
+ )
303
+
304
+ counts = list(
305
+ path = file.path("/home/chase/code/hf/mahendrawada_2025",
306
+ paste0(n, "_counts.parquet")),
307
+ data = counts_parsed_list[[n]]$counts
308
+ )
309
+
310
+ arrow::write_parquet(
311
+ meta$data,
312
+ meta$path,
313
+ compression = "zstd",
314
+ write_statistics = TRUE)
315
+
316
+ arrow::write_parquet(
317
+ counts$data,
318
+ counts$path,
319
+ chunk_size = 7036,
320
+ compression = "zstd",
321
+ write_statistics = TRUE,
322
+ use_dictionary = c(
323
+ sra_accession = TRUE))
324
+ }
325
 
scripts/rnaseq_differential_expression.R CHANGED
@@ -45,8 +45,7 @@ run_degron_deseq2 <- function(regulator_sym, env_cond, timepoint_val,
45
  select(target_locus_tag, sra_accession, count) %>%
46
  pivot_wider(
47
  names_from = sra_accession,
48
- values_from = count,
49
- values_fill = 0) %>%
50
  column_to_rownames("target_locus_tag")
51
 
52
  # Create sample metadata
@@ -100,6 +99,8 @@ degron = list(
100
  meta = arrow::read_parquet("~/code/hf/mahendrawada_2025/degron_counts_meta.parquet")
101
  )
102
 
 
 
103
  x = map(unique(degron$meta$regulator_symbol),
104
  ~run_degron_deseq2(., 'standard_30C', 30, degron, baseline_control))
105
 
 
45
  select(target_locus_tag, sra_accession, count) %>%
46
  pivot_wider(
47
  names_from = sra_accession,
48
+ values_from = count) %>%
 
49
  column_to_rownames("target_locus_tag")
50
 
51
  # Create sample metadata
 
99
  meta = arrow::read_parquet("~/code/hf/mahendrawada_2025/degron_counts_meta.parquet")
100
  )
101
 
102
+ z = run_degron_deseq2("CYC8", 'standard_30C', 30, degron, baseline_control)
103
+
104
  x = map(unique(degron$meta$regulator_symbol),
105
  ~run_degron_deseq2(., 'standard_30C', 30, degron, baseline_control))
106
 
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