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RepeatMasker Trinity based Parse Script
The following code gives the error
Error in rename(test2, lowextremety = qry_start) :
object 'qry_start' not found
It seems this is because the extremety headings are removed using select, and there are also still headings named "qry_start", etc. I am curious if the rename should be the other way around or if there is something else going on here. I am a little confused as to what this precise bit of code does, and was wondering if it could just be removed? Thanks for any help.
`#####test2#####
#next snippet of code keeps merged elements that should have been merged seperate
test2 <- test2 %>% dplyr::select(-c('lowextremety', 'highextremety', 'mergedfraglength'))
test2 <- rename(test2, lowextremety = qry_start)
test2 <- rename(test2, highextremety = qry_end)
test2 <- rename(test2, mergedfraglength = qry_width)`
Hi Christopher,
Thanks for sharing your script to parse RM output. I just used it as part of the FastTE pipeline - very useful!
I went through the R script more or less line by line today as I wanted to change the output format slightly and then noticed a bug. I traced this back to the way you are reading in the RM output in line 26. Basically, if the first column (sw_score) does not start with a white space, all of the columns of that line are shifted to the left and the resulting data frame is incorrect. I found a fix to get around this issue, see below.
Lines in raw RM output:
27245 0.0 0.0 1.7 Chr1 20619926 20623101 (9804570) + TE_00000209 __ClassII_DNA_CACTA_nMITE 2683 5805 (1708) 7595
625 2.4 0.0 2.4 Chr1 20623765 20623848 (9803823) + TE_00000209 __ClassII_DNA_CACTA_nMITE 5806 5887 (1626) 7596
1409 0.6 0.0 0.0 Chr1 20624203 20624367 (9803304) + TE_00000209 __ClassII_DNA_CACTA_nMITE 5878 6042 (1471) 7597
Original representation in the R data frame (first row should start with 27245, but all columns are shifted to the left):
sw_score perc_div perc_del perc_insert qry_id qry_start qry_end qry_left matching_repeat repeat_id matching_class no_bp_in_complement in_repeat_start in_repeat_end
0 0 1.7 Chr1 20619926 20623101 -9804570 + TE_00000209 __ClassII_DNA_CACTA_nMITE 2683 5805 -1708 7595
625 2.4 0 2.4 Chr1 20623765 20623848 -9803823 + TE_00000209 __ClassII_DNA_CACTA_nMITE 5806 5887 -1626
1409 0.6 0 0 Chr1 20624203 20624367 -9803304 + TE_00000209 __ClassII_DNA_CACTA_nMITE 5878 6042 -1471
R data frame after fixing:
sw_score perc_div perc_del perc_insert qry_id qry_start qry_end qry_left matching_repeat repeat_id matching_class no_bp_in_complement in_repeat_start in_repeat_end
27245 0 0 1.7 Chr1 20619926 20623101 -9804570 + TE_00000209 __ClassII_DNA_CACTA_nMITE 2683 5805 -1708
625 2.4 0 2.4 Chr1 20623765 20623848 -9803823 + TE_00000209 __ClassII_DNA_CACTA_nMITE 5806 5887 -1626
1409 0.6 0 0 Chr1 20624203 20624367 -9803304 + TE_00000209 __ClassII_DNA_CACTA_nMITE 5878 6042 -1471
This is how I fixed it (replace line 26 with these two lines of code):
str.res <- unlist(stringr::str_trim(x))
str.res <- unlist(stringr::str_split(str.res, "\\s+"))
Hope this is useful to others as well.
Best wishes,
Jasmin
Hi there!
Amazing job done with RM_TRIPS! I want to apply it to some TE annotations on chromosome-level assemblies. Should I turn off the isoform filtering (step 3)?
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