Maintenace, and add a Fibonacci-sequence example
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# tocID <- "BIN-Sequence.R"
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#
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# ---------------------------------------------------------------------------- #
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# PATIENCE ... #
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# Do not yet work wih this code. Updates in progress. Thank you. #
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# boris.steipe@utoronto.ca #
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# ---------------------------------------------------------------------------- #
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#
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# Purpose: A Bioinformatics Course:
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# R code accompanying the BIN-Sequence unit.
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#
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# Version: 1.4
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# Version: 1.5
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#
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# Date: 2017 09 - 2019 01
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# Date: 2017-09 - 2020-09
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# Author: Boris Steipe (boris.steipe@utoronto.ca)
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#
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# Versions:
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# 1.5 2020 Updates
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# 1.4 Change from require() to requireNamespace(),
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# use <package>::<function>() idiom throughout,
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# use Biocmanager:: not biocLite()
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@ -60,12 +55,6 @@
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#TOC> ==========================================================================
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#
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#
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#
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#
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# = 1 Prepare =============================================================
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# Much basic sequence handling is supported by the Bioconductor package
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@ -116,7 +105,7 @@ as.character(a)
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length(s) # why ???
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nchar(s) # aha
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nchar(s) # Aha!
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# = 4 Substrings ==========================================================
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@ -135,9 +124,9 @@ substring(myBiCodes, 1, 3)
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# ... however only substring() will also use vectors for start and stop
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s <- "gatattgtgatgacccagtaa" # a DNA sequence
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(i <- seq(1, nchar(s), by = 3)) # an index vector
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substr( s, i, i+2) # ... returns only the first nucleotide triplet
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substring(s, i, i+2) # ... returns all triplets
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(vI <- seq(1, nchar(s), by = 3)) # an index vector
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substr( s, vI, vI+2) # ... returns only the first nucleotide triplet
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substring(s, vI, vI+2) # ... returns all triplets
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# = 5 Creating strings: sprintf() =========================================
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@ -183,12 +172,22 @@ toupper(tolower(s))
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# === 6.1.2 Reverse
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reverse(s)
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# (This used to work in Biostrings, apparently it doesn't work anymore. Why?)
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# Biostrings::str_rev(s)
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# The following works, of course, but awkward:
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s
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paste0(rev(unlist(strsplit(s, ""))), collapse = "")
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# reverse complement
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COMP <- c("t", "g", "c", "a")
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names(COMP) <- c("a", "c", "g", "t") # mapping the complement via names
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s
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paste0(COMP[rev(unlist(strsplit(s, "")))], collapse = "")
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# === 6.1.3 Change characters
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# chartr(old, new, x) maps all characters in x that appear in "old" to the
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# correpsonding character in "new."
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# correpsonding character in "new." Kind of like the COMP vector above ...
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chartr("aeio", "uuuu", "We hold these truths to be self-evident ...")
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@ -200,25 +199,32 @@ chartr(paste0(letters, collapse = ""),
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# One amusing way to use the function is for a reversible substitution
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# cypher.
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alBet <- "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz .,;:?0123456789"
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set.seed(112358) # set RNG seed for repeatable randomness
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(myCypher <- paste0(sample(letters), collapse = ""))
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( myCypher <- paste0(sample(unlist(strsplit(alBet, ""))), collapse = "") )
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set.seed(NULL) # reset the RNG
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(lett <- paste0(letters, collapse = ""))
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# encode ...
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(x <- chartr(lett, myCypher, "... seven for a secret, never to be told."))
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(x <- chartr(alBet, myCypher, "... seven for a secret, never to be told."))
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# decode ...
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chartr(myCypher, lett, x)
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chartr(myCypher, alBet, x)
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# (Nb. substitution cyphers are easy to crack!)
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# === 6.1.4 Substitute characters
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(s <- gsub("IV", "i-v", s)) # gsub can change length, first argument is
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# a "regular expression"!
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# gsub can change lengths.
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# Example: implementing the binary Fibonacci sequence:
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# 0 -> 1; 1 -> 10 , in three nested gsub() statements
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( s <- 1 )
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( s <- gsub("2", "10", gsub("0", "1", gsub("1", "2", s))) )
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# I use it often to delete characters I don't want ...
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# Iterate this line a few times ...
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#
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# cf. http://www.maths.surrey.ac.uk/hosted-sites/R.Knott/Fibonacci/fibrab.html
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# for the features of the sequence.
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# I use gsub() often to delete unwanted characters ...
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# ... select something, and substitute the empty string for it.
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(s <- gsub("-", "", s))
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@ -249,9 +255,9 @@ MSNQIYSARY SGVDVYEFIH STGSIMKRKK DDWVNATHIL KAANFAKAKR ")
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# In our learning units, we use a function dbSanitizeSequence() to clean up
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# sequences that may be copy/pasted from Web-sources
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s <- ">FASTA header will be removed
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cat( s <- ">FASTA header will be removed
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10 20 30 40 50
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MSNQIYSARY SGVDVYEFIH STGSIMKRKK DDWVNATHIL KAANFAKAKR "
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MSNQIYSARY SGVDVYEFIH STGSIMKRKK DDWVNATHIL KAANFAKAKR " )
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dbSanitizeSequence(s)
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@ -341,7 +347,7 @@ if (! requireNamespace("stringi", quietly = TRUE)) {
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# data(package = "stringi") # available datasets
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(x <- stri::stri_match_all(mySeq, regex = "CG"))
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(x <- stringi::stri_match_all(mySeq, regex = "CG"))
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length(unlist(x))
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# Now you could compare that number with yeast DNA sequences, and determine
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