minor updates
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# tocID <- "BIN-FUNC-Domain_annotation.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-FUNC-Domain_annotation unit.
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#
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# Version: 1.0
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# Version: 1.1
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#
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# Date: 2017 11 13
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# Date: 2017-11 - 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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# 1.1 2020 Updates
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# 1.0 Live version 2017
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# 0.1 First code copied from 2016 material.
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#
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@ -32,14 +27,14 @@
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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 Update your database script 41
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#TOC> 1.1 Preparing an annotation file ... 47
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#TOC> 1.1.1 If you HAVE NOT done the BIN-ALI-Optimal_sequence_alignment unit 49
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#TOC> 1.1.2 If you HAVE done the BIN-ALI-Optimal_sequence_alignment 93
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#TOC> 1.2 Execute and Validate 119
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#TOC> 2 Plot Annotations 144
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#TOC> Section Title Line
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#TOC> ---------------------------------------------------------------------
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#TOC> 1 Update your database script 42
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#TOC> 1.1 Preparing an annotation file ... 49
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#TOC> 1.1.1 BEFORE "BIN-ALI-Optimal_sequence_alignment" 52
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#TOC> 1.1.2 AFTER "BIN-ALI-Optimal_sequence_alignment" 97
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#TOC> 1.2 Execute and Validate 124
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#TOC> 2 Plot Annotations 149
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#TOC>
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#TOC> ==========================================================================
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@ -48,12 +43,15 @@
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# Since you have recorded domain features at the SMART database, we can store
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# the feature annotations in myDB.
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# the feature annotations in myDB ...
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# == 1.1 Preparing an annotation file ... ==================================
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# === 1.1.1 BEFORE "BIN-ALI-Optimal_sequence_alignment"
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#
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# === 1.1.1 If you HAVE NOT done the BIN-ALI-Optimal_sequence_alignment unit
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#
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# IF YOU HAVE NOT YET COMPLETED THE BIN-ALI-OPTIMAL_SEQUENCE_ALIGNMENT UNIT:
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#
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# You DON'T already have a file called "<MYSPE>-Annotations.json" in the
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# ./data/ directory:
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@ -96,10 +94,11 @@
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# Then SKIP the next section.
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#
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#
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# === 1.1.2 If you HAVE done the BIN-ALI-Optimal_sequence_alignment
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# === 1.1.2 AFTER "BIN-ALI-Optimal_sequence_alignment"
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#
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# IF YOU HAVE ALREADY COMPLETED THE BIN-ALI-OPTIMAL_SEQUENCE_ALIGNMENT UNIT:
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#
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# You DO already have a file called "<MYSPE>-Annotations.json" in the
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# You SHOULD have a file called "<MYSPE>-Annotations.json" in the
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# ./data/ directory:
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#
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# - Open the file in the RStudio editor.
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@ -129,8 +128,8 @@
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# source("makeProteinDB.R")
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#
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# This should run without errors or warnings. If it doesn't work and you
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# can't figure out quickly what's happening, ask on the mailing list for
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# help.
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# can't figure out quickly what's happening, ask for help on the
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# Discussion Board.
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#
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# - Confirm
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# The following commands should retrieve all of the features that have been
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@ -150,7 +149,7 @@ myDB$feature$name[ftrIDs] # This should list ALL of your annotated features
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# = 2 Plot Annotations ====================================================
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# In this section we will plot domain annotations as colored rectangles on a
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# sequence, as an example for using the R plotting system for generic, data
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# sequence, as an example of using the R plotting system for generic, data
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# driven images.
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# We need a small utility function that draws the annotation boxes on a
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@ -158,10 +157,10 @@ myDB$feature$name[ftrIDs] # This should list ALL of your annotated features
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# the y value where it should be plotted and the color of the box, and plot a
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# rectangle using R's rect() function.
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drawBox <- function(xStart, xEnd, y, myCol) {
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drawBox <- function(xStart, xEnd, y, myCol, DELTA = 0.2) {
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# Draw a box from xStart to xEnd at y, filled with colour myCol
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delta <- 0.1
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rect(xStart, (y - delta), xEnd, (y + delta),
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# The height of the box is y +- DELTA
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rect(xStart, (y - DELTA), xEnd, (y + DELTA),
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border = "black", col = myCol)
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}
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@ -228,6 +227,8 @@ yMax <- length(iRows) * 1.1
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xMax <- max(nchar(myDB$protein$sequence[iRows])) * 1.1 # longest sequence
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# plot an empty frame
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oPar <- par(mar = c(4.2, 0.1, 3, 0.1)) # save the current plot parameters and
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# decrease margins
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plot(1, 1,
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xlim = c(-200, xMax + 100),
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ylim = c(0, yMax),
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@ -236,6 +237,7 @@ plot(1, 1,
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bty = "n",
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main = "Mbp1 orthologue domain annotations",
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xlab = "sequence position",
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cex.axis = 0.8,
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ylab="")
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axis(1, at = seq(0, xMax, by = 100))
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myCol <- colorRampPalette(c("#f2003c", "#F0A200",
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@ -250,11 +252,12 @@ legend(xMax - 150, 6,
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cex = 0.7,
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fill = myCol)
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# Finally, iterate over all proteins and call plotProtein()
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for (i in seq_along(iRows)) {
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plotProtein(myDB, myDB$protein$name[iRows[i]], i)
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}
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par(oPar) # reset the plot parameters
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# The plot shows what is variable and what is constant about the annotations in
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# a group of related proteins. Your MBP1_MYSPE annotations should appear at the
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@ -264,6 +267,9 @@ for (i in seq_along(iRows)) {
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# Put a copy of the plot into your journal and interpret it with respect
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# to MBP1_MYSPE, i.e. and note what you learn about MBP1_MYSPE from the plot.
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# Task:
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# It would be better to align the motif borders, at least approximately (not
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# all proteins have all motifs). How would you go about doing that?
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# [END]
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