load seqinr
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# Purpose: A Bioinformatics Course:
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# R code accompanying the BIN-ALI-Optimal_sequence_alignment unit.
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#
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# Version: 1.1
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# Version: 1.2
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#
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# Date: 2017 09 - 2017 11
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# Author: Boris Steipe (boris.steipe@utoronto.ca)
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#
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# Versions:
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# 1.2 Added missing load of seqinr package
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# 1.1 Update annotation file logic - it could already have been
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# prepared in the BIN-FUNC-Annotation unit.
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# 1.0.1 bugfix
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@ -28,25 +29,38 @@
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#TOC> ==========================================================================
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#TOC>
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#TOC>
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#TOC> Section Title Line
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#TOC> --------------------------------------------------------------------
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#TOC> 1 Prepare 48
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#TOC> 2 Biostrings Pairwise Alignment 56
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#TOC> 2.1 Optimal global alignment 73
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#TOC> 2.2 Optimal local alignment 136
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#TOC> 3 APSES Domain annotation by alignment 160
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#TOC> 4 Update your database script 241
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#TOC> 4.1 Preparing an annotation file ... 247
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#TOC> 4.1.1 If you HAVE NOT done the BIN-FUNC-Annotation unit 249
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#TOC> 4.1.2 If you HAVE done the BIN-FUNC-Annotation unit 292
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#TOC> 4.2 Execute and Validate 316
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#TOC>
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#TOC> 1 Prepare 49
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#TOC> 2 Biostrings Pairwise Alignment 70
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#TOC> 2.1 Optimal global alignment 88
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#TOC> 2.2 Optimal local alignment 151
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#TOC> 3 APSES Domain annotation by alignment 175
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#TOC> 4 Update your database script 256
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#TOC> 4.1 Preparing an annotation file ... 262
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#TOC> 4.1.1 If you HAVE NOT done the BIN-FUNC-Annotation unit 264
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#TOC> 4.1.2 If you HAVE done the BIN-FUNC-Annotation unit 307
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#TOC> 4.2 Execute and Validate 331
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#TOC>
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#TOC> ==========================================================================
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# = 1 Prepare =============================================================
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# To simplify code a bit, we will use seqinr's function s2c(x) to make
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# character vectors from sequence strings below, rather than the lengthier
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# base idiom unlist(strsplit(x, "").
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if (!require(seqinr)) {
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install.packages("seqinr")
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library(seqinr)
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}
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# Package information:
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# library(help = seqinr) # basic information
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# browseVignettes("seqinr") # available vignettes
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# data(package = "seqinr") # available datasets
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# You need to recreate the protein database that you have constructed in the
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# BIN-Storing_data unit.
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@ -55,6 +69,7 @@ source("makeProteinDB.R")
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# = 2 Biostrings Pairwise Alignment =======================================
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if (!require(Biostrings, quietly=TRUE)) {
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if (! exists("biocLite")) {
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source("https://bioconductor.org/biocLite.R")
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@ -113,12 +128,12 @@ nchar(ali1@pattern)
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# the number of identities
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sum(s2c(as.character(ali1@pattern)) ==
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s2c(as.character(ali1@subject)))
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s2c(as.character(ali1@subject)))
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# ... e.g. to calculate the percentage of identities
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100 *
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sum(s2c(as.character(ali1@pattern)) ==
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s2c(as.character(ali1@subject))) /
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s2c(as.character(ali1@subject))) /
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nchar(ali1@pattern)
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# ... which should be the same as reported in the writePairwiseAlignments()
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# output. Awkward to type? Then it calls for a function:
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@ -127,7 +142,7 @@ percentID <- function(al) {
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# returns the percent-identity of a Biostrings alignment object
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return(100 *
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sum(s2c(as.character(al@pattern)) ==
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s2c(as.character(al@subject))) /
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s2c(as.character(al@subject))) /
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nchar(al@pattern))
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}
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@ -289,7 +304,7 @@ aliApses@subject@range@start + aliApses@subject@range@width - 1
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# Then SKIP the next section.
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#
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#
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# === 4.1.2 If you HAVE done the BIN-FUNC-Annotation unit
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# === 4.1.2 If you HAVE done the BIN-FUNC-Annotation unit
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#
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#
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# You DO already have a file called "<MYSPE>-Annotations.json" in the
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