Download scripts/parse_mahendrawada_data.R from BrentLab/mahendrawada_2025: direct link, hf CLI and curl.
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https://huggingface.co/datasets/BrentLab/mahendrawada_2025/resolve/refs%2Fpr%2F2/scripts/parse_mahendrawada_data.R
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hf download hf://datasets/BrentLab/mahendrawada_2025@refs/pr/2/scripts/parse_mahendrawada_data.R
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curl -L -o parse_mahendrawada_data.R https://huggingface.co/datasets/BrentLab/mahendrawada_2025/resolve/refs%2Fpr%2F2/scripts/parse_mahendrawada_data.R
3.88 kB
| library(tidyverse) | |
| library(arrow) | |
| library(here) | |
| library(yaml) | |
| # from fetchngs, the multiqc metadata has an easy way to map between | |
| # accessions and samples | |
| multiqc_chec_config = yaml::read_yaml("data/mahendrawada_multiqc_config.yml") | |
| chec_meta <- map_dfr(multiqc_chec_config$sample_names_rename, | |
| ~tibble(!!!setNames(., multiqc_chec_config$sample_names_rename_buttons))) | |
| genetable = arrow::read_parquet("~/code/hf/yeast_genome_resources/brentlab_features.parquet") | |
| parsed_chec_meta = chec_meta %>% | |
| mutate(mahendrawada_symbol = str_remove(`sample_description"`, "_\\w_ChEC-seq"), | |
| replicate = str_remove_all(str_extract(`sample_description"`, "_(A|B|C)"), "_")) %>% | |
| select(sample, mahendrawada_symbol, replicate) %>% | |
| mutate(mahendrawada_symbol = str_remove(mahendrawada_symbol, "_(A|B|C)$")) %>% | |
| mutate( | |
| condition = str_remove(str_extract(mahendrawada_symbol, "_.*"), "^_"), | |
| mahendrawada_symbol = toupper(str_remove(mahendrawada_symbol, "_.*"))) %>% | |
| replace_na(list(condition = "standard")) %>% | |
| mutate(condition = str_remove(condition, "_(A|B|C)_S\\d+_L001")) %>% | |
| mutate(tmp_m_symbol = case_when( | |
| mahendrawada_symbol == "MED15" ~ "GAL11", | |
| mahendrawada_symbol == "YNR063W" ~ "PUL4", | |
| .default = mahendrawada_symbol | |
| )) %>% | |
| left_join( | |
| select(genetable, locus_tag, symbol) %>% | |
| dplyr::rename(tmp_m_symbol = symbol, | |
| regulator_locus_tag = locus_tag)) %>% | |
| dplyr::rename(regulator_symbol = tmp_m_symbol) %>% | |
| mutate(regulator_locus_tag = case_when( | |
| regulator_symbol == "FREEMNASE" ~ "FREEMNASE", | |
| .default = regulator_locus_tag)) %>% | |
| dplyr::rename(sra_accession = sample) | |
| parsed_chec_meta_with_ids = parsed_chec_meta %>% | |
| filter(regulator_symbol != "FREEMNASE") %>% | |
| mutate(replicate = factor(replicate, levels = c("A", "B", "C"))) %>% | |
| arrange(regulator_locus_tag, condition, replicate) %>% | |
| group_by(regulator_locus_tag, condition) %>% | |
| mutate(sample_id = cur_group_id()) %>% | |
| ungroup() %>% | |
| mutate(replicate = as.character(replicate)) | |
| # arrow::write_parquet(parsed_chec_meta_with_ids, "~/code/hf/mahendrawada_2025/chec_genome_map_meta.parquet") | |
| annotated_feature_meta = parsed_chec_meta_with_ids %>% | |
| select(regulator_locus_tag, regulator_symbol, condition, sample_id) %>% | |
| distinct() | |
| freemnase_meta = parsed_chec_meta %>% | |
| filter(regulator_symbol == "FREEMNASE") %>% | |
| mutate(replicate = factor(replicate, levels = c("A", "B", "C"))) %>% | |
| arrange(regulator_locus_tag, condition, replicate) %>% | |
| group_by(regulator_locus_tag, condition) %>% | |
| mutate(sample_id = cur_group_id() + max(parsed_chec_meta_with_ids$sample_id)) %>% | |
| ungroup() %>% | |
| mutate(replicate = as.character(replicate)) %>% | |
| select(sra_accession, replicate, condition) | |
| # arrow::write_parquet(freemnase_meta, "~/code/hf/mahendrawada_2025/chec_genome_map_control_meta.parquet") | |
| mahendrawada_genome_map_bed = list.files("~/code/hf/mahendrawada_2025/chec_genome_map_bed", ".bed$") | |
| mahendrawada_genome_map = map( | |
| mahendrawada_genome_map_bed, | |
| ~read_tsv(file.path("~/code/hf/mahendrawada_2025/chec_genome_map_bed", .), | |
| col_names = c("chr", "start", "end", "name", "score", "strand")) | |
| ) | |
| names(mahendrawada_genome_map) = str_remove(mahendrawada_genome_map_bed, "_REP1.mLb.mkD.sorted_5p.bed") | |
| mahendrawada_genome_map_df = bind_rows( | |
| mahendrawada_genome_map, | |
| .id = 'sra_accession') | |
| rm(mahendrawada_genome_map) | |
| gc() | |
| # arrow::write_dataset( | |
| # mahendrawada_genome_map_df, | |
| # path = "/home/chase/code/hf/mahendrawada_2025/chec_genome_map", | |
| # format = "parquet", | |
| # partitioning = c("sra_accession"), | |
| # existing_data_behavior = "overwrite", | |
| # compression = "zstd", | |
| # write_statistics = TRUE, | |
| # use_dictionary = c( | |
| # chr = TRUE)) | |