Mercurial > repos > petr-novak > dante_ltr
diff clean_ltr.R @ 4:93d35ae65e1b draft
"planemo upload commit 57a4f4a749b60b4e1d992dc3a879add7bb4bb56b"
author | petr-novak |
---|---|
date | Mon, 09 May 2022 12:37:31 +0000 |
parents | 6ae4a341d1f3 |
children | b91ca438a1cb |
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--- a/clean_ltr.R Tue May 03 12:38:12 2022 +0000 +++ b/clean_ltr.R Mon May 09 12:37:31 2022 +0000 @@ -76,6 +76,9 @@ cat("done\n") # testing if (FALSE) { + g <- rtracklayer::import("./test_data/big_test_data/dante_ltr_unfiltered_t.cacao.gff3") + s <- readDNAStringSet("./test_data/big_test_data/T_cacao_chromosomes.fasta") + g <- rtracklayer::import("./test_data/sample_ltr_annotation.gff3") s <- readDNAStringSet("./test_data/sample_genome.fasta") @@ -88,6 +91,12 @@ source("./R/ltr_utils.R") } +## ID in g must be unique - this could be a problem if gff is concatenated from multiple files! +## id ID is renamed - rename parent to! +## add chromosom index to disctinguish same IDs +suffix <- as.numeric(seqnames(g)) +g$ID <- ifelse(is.na(g$ID), NA, paste0(g$ID,"_", suffix)) +g$Parent <- ifelse(is.na(g$Parent), NA, paste0(g$Parent,"_", suffix)) # get te sequence based on rank @@ -101,11 +110,9 @@ # TE rank 2: TE_DLT_plus_DLP_info <- analyze_TE(c(s_te$DLP, s_te$DLT), word_size = word_size, ncpus = ncpus) -TE_DLT_plus_DLP_info_DLTP_verified <- compare_TE_datasets(c(s_te$DLT, s_te$DLP), ncpus - = ncpus, - TE_DLTP_info$seqs_representative, - word_size = word_size -) + TE_DLT_plus_DLP_info_DLTP_verified <- compare_TE_datasets(c(s_te$DLT, s_te$DLP), ncpus + = ncpus,TE_DLTP_info$seqs_representative, word_size = word_size + ) TE_DLT_plus_DLP_info_multiplicity <- verify_based_on_multiplicity(TE_DLT_plus_DLP_info) # create additional library from rank 2 verified by multiplicity @@ -133,11 +140,11 @@ } } -# TE rank 3 +# TE rank 3 - verify agains good DLTP TE_DL_info_DLTP_verified <- compare_TE_datasets( s_te$DL, - TE_DLTP_info$seqs_representative, min_coverage = 0.98, - ncpus = ncpus + TE_DLTP_info$seqs_representative, min_coverage = 0.95, + ncpus = ncpus, word_size = word_size )