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  1. scripts/parse_hughes_2006.R +56 -18
scripts/parse_hughes_2006.R CHANGED
@@ -4,12 +4,12 @@ library(arrow)
4
  library(readxl)
5
 
6
  # Constants ----
7
- GENOMIC_FEATURES_PATH <- here("data/genome_files/hf/features")
8
  HUGHES_DATA_DIR <- here("data/hughes_2006")
9
 
10
  # Load genomic features harmonization table ----
11
  # See https://huggingface.co/datasets/BrentLab/yeast_genome_resources
12
- genomicfeatures <- arrow::open_dataset(GENOMIC_FEATURES_PATH) %>%
13
  as_tibble()
14
 
15
  #' Read and process Hughes normalized data
@@ -140,13 +140,13 @@ validate_data_consistency <- function() {
140
  tests <- list(
141
  # Check regulator locus tags match genomic features
142
  regulator_locus_consistency = setequal(
143
- intersect(genomic_features$locus_tag, hughes_2006_meta$regulator_locus_tag),
144
  hughes_2006_meta$regulator_locus_tag
145
  ),
146
 
147
  # Check regulator symbols match genomic features
148
  regulator_symbol_consistency = setequal(
149
- intersect(genomic_features$symbol, hughes_2006_meta$regulator_symbol),
150
  hughes_2006_meta$regulator_symbol
151
  ),
152
 
@@ -171,7 +171,7 @@ validate_data_consistency <- function() {
171
  # Check targets match genomic features
172
  target_genomic_consistency = setequal(
173
  unique(df_oe$hughes_target),
174
- intersect(unique(df_oe$hughes_target), genomic_features$locus_tag)
175
  )
176
  )
177
 
@@ -205,16 +205,16 @@ if (missing_targets_count > 0) {
205
 
206
  missing_locus_tags <- setdiff(
207
  unique(df_oe$hughes_target),
208
- intersect(unique(df_oe$hughes_target), genomic_features$locus_tag)
209
  )
210
 
211
  genome_map = tibble(
212
  locus_tag = intersect(unique(df_oe$hughes_target),
213
- genomic_features$locus_tag)) %>%
214
  left_join(genomicfeatures %>% select(locus_tag, symbol)) %>%
215
  mutate(hughes_target = locus_tag) %>%
216
  bind_rows(
217
- genomic_features %>%
218
  filter(str_detect(alias, paste(missing_locus_tags, collapse = "|"))) %>%
219
  mutate(alias_match = str_extract(alias, paste(missing_locus_tags, collapse = "|"))) %>%
220
  dplyr::rename(hughes_target = alias_match) %>%
@@ -224,21 +224,59 @@ genome_map = tibble(
224
 
225
  stopifnot(setequal(genome_map$hughes_target, unique(df_oe$hughes_target)))
226
 
227
- df_oe_harmonized =
228
- df_oe %>%
229
- select(-c(sample, regulator_symbol)) %>%
230
- pivot_wider(id_cols = c(regulator_symbol, hughes_target),
231
- names_from = dye_orientation,
232
- values_from = norm_log2fc) %>%
233
- dplyr::rename(dye_plus = `+`, dye_minus = `-`) %>%
234
- left_join(df_oe)
235
  left_join(
236
  select(hughes_2006_meta,
237
  regulator_locus_tag,
238
- regulator_symbol) %>%
239
  left_join(genome_map) %>%
240
  select(regulator_locus_tag, regulator_symbol,
241
  target_locus_tag, target_symbol,
242
- mean_log2fc)
243
 
 
 
 
 
 
 
 
 
 
 
 
244
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
  library(readxl)
5
 
6
  # Constants ----
7
+ genomicfeatures_PATH <- here("data/genome_files/hf/features")
8
  HUGHES_DATA_DIR <- here("data/hughes_2006")
9
 
10
  # Load genomic features harmonization table ----
11
  # See https://huggingface.co/datasets/BrentLab/yeast_genome_resources
12
+ genomicfeatures <- arrow::open_dataset(genomicfeatures_PATH) %>%
13
  as_tibble()
14
 
15
  #' Read and process Hughes normalized data
 
140
  tests <- list(
141
  # Check regulator locus tags match genomic features
142
  regulator_locus_consistency = setequal(
143
+ intersect(genomicfeatures$locus_tag, hughes_2006_meta$regulator_locus_tag),
144
  hughes_2006_meta$regulator_locus_tag
145
  ),
146
 
147
  # Check regulator symbols match genomic features
148
  regulator_symbol_consistency = setequal(
149
+ intersect(genomicfeatures$symbol, hughes_2006_meta$regulator_symbol),
150
  hughes_2006_meta$regulator_symbol
151
  ),
152
 
 
171
  # Check targets match genomic features
172
  target_genomic_consistency = setequal(
173
  unique(df_oe$hughes_target),
174
+ intersect(unique(df_oe$hughes_target), genomicfeatures$locus_tag)
175
  )
176
  )
177
 
 
205
 
206
  missing_locus_tags <- setdiff(
207
  unique(df_oe$hughes_target),
208
+ intersect(unique(df_oe$hughes_target), genomicfeatures$locus_tag)
209
  )
210
 
211
  genome_map = tibble(
212
  locus_tag = intersect(unique(df_oe$hughes_target),
213
+ genomicfeatures$locus_tag)) %>%
214
  left_join(genomicfeatures %>% select(locus_tag, symbol)) %>%
215
  mutate(hughes_target = locus_tag) %>%
216
  bind_rows(
217
+ genomicfeatures %>%
218
  filter(str_detect(alias, paste(missing_locus_tags, collapse = "|"))) %>%
219
  mutate(alias_match = str_extract(alias, paste(missing_locus_tags, collapse = "|"))) %>%
220
  dplyr::rename(hughes_target = alias_match) %>%
 
224
 
225
  stopifnot(setequal(genome_map$hughes_target, unique(df_oe$hughes_target)))
226
 
227
+ df_oe_harmonized = df_oe %>%
 
 
 
 
 
 
 
228
  left_join(
229
  select(hughes_2006_meta,
230
  regulator_locus_tag,
231
+ regulator_symbol)) %>%
232
  left_join(genome_map) %>%
233
  select(regulator_locus_tag, regulator_symbol,
234
  target_locus_tag, target_symbol,
235
+ dye_plus, dye_minus, mean_norm_log2fc)
236
 
237
+ df_oe_harmonized %>%
238
+ write_parquet("~/code/hf/hughes_2006/overexpression.parquet",
239
+ compression = "zstd",
240
+ write_statistics = TRUE,
241
+ use_dictionary = c(
242
+ regulator_locus_tag = TRUE,
243
+ regulator_symbol = TRUE,
244
+ target_locus_tag = TRUE,
245
+ target_symbol = TRUE
246
+ )
247
+ )
248
 
249
+ df_ko_harmonized = df_ko %>%
250
+ left_join(
251
+ select(hughes_2006_meta,
252
+ regulator_locus_tag,
253
+ regulator_symbol)) %>%
254
+ left_join(genome_map) %>%
255
+ select(regulator_locus_tag, regulator_symbol,
256
+ target_locus_tag, target_symbol,
257
+ dye_plus, dye_minus, mean_norm_log2fc)
258
+
259
+ df_ko_harmonized %>%
260
+ write_parquet("~/code/hf/hughes_2006/knockout.parquet",
261
+ compression = "zstd",
262
+ write_statistics = TRUE,
263
+ use_dictionary = c(
264
+ regulator_locus_tag = TRUE,
265
+ regulator_symbol = TRUE,
266
+ target_locus_tag = TRUE,
267
+ target_symbol = TRUE
268
+ )
269
+ )
270
+
271
+ hughes_2006_meta %>%
272
+ janitor::clean_names() %>%
273
+ write_parquet("~/code/hf/hughes_2006/metadata.parquet",
274
+ compression = "zstd",
275
+ write_statistics = TRUE,
276
+ use_dictionary = c(
277
+ regulator_locus_tag = TRUE,
278
+ regulator_symbol = TRUE,
279
+ oe_passed_qc = TRUE,
280
+ del_passed_qc = TRUE
281
+ )
282
+ )