Maintance: typos, update of prosite URL
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@ -79,7 +79,7 @@ if (!require(Rphylip, quietly=TRUE)) {
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# PROMLPATH <- "/Applications/phylip-3.695/exe/proml.app/Contents/MacOS"
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# === 1.1.2 ... on Windows
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# On Windows you need to know where the rograms have been installed, and you
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# On Windows you need to know where the programs have been installed, and you
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# need to specify a path that is correct for the Windows OS. Find the folder
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# that is named "exe", and right-click to inspect its properties. The path
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# should be listed among them.
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@ -180,9 +180,9 @@ autoincrement <- function(table) {
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autoincrement(philDB$person)
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# Once that is clear, let's remove the Zhuangzi entry and recreate it correctly.
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# Many ways to remove, here we use a logical expression to select matching record(s),
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# apply the results to subset the data frame, and overwrite the existing table
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# with the new one.
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# Many ways to remove, here we use a logical expression to select matching
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# record(s), apply the results to subset the data frame, and overwrite the
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# existing table with the new one.
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sel <- !(philDB$person$name == "Zhuangzi") # select ...
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philDB$person <- philDB$person[sel, ] # ... and replace
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@ -260,7 +260,7 @@ philDB$books$title
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sel <- numeric() # initialize the vector
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for (ID in pID) {
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sel <- which(philDB$works$personID == ID) # get all rows for which
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# the condition is TRUE
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# the condition is TRUE
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cat(sprintf("%s: ", philDB$person$name[ID])) # output the person
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cat(sprintf("\"%s\" ", philDB$books$title[sel])) # output the book
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cat("\n")
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@ -3,12 +3,13 @@
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# Purpose: A Bioinformatics Course:
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# R code accompanying the RPR-Scripting_data_downloads unit.
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#
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# Version: 1.0
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# Version: 1.0.1
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#
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# Date: 2017 10 05
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# Date: 2017 10 - 2018 12
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# Author: Boris Steipe (boris.steipe@utoronto.ca)
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#
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# Versions:
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# 1.0.1 Updates for slightly changed interfaces
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# 1.0 First ABC units version
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# 0.1 First code copied from 2016 material.
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#
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@ -26,13 +27,13 @@
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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 Constructing a POST command from a Web query 44
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#TOC> 1.1 Task - fetchPrositeFeatures() function 145
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#TOC> 2 Task solutions 153
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#TOC>
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#TOC>
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#TOC> ==========================================================================
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@ -57,7 +58,7 @@ if (! require(httr, quietly=TRUE)) {
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UniProtID <- "P39678"
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URL <- "http://prosite.expasy.org/cgi-bin/prosite/PSScan.cgi"
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URL <- "https://prosite.expasy.org/cgi-bin/prosite/PSScan.cgi"
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response <- POST(URL,
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body = list(meta = "opt1",
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@ -148,7 +149,7 @@ features
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# = 2 Task solutions ======================================================
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# I have placed such a function into the dbUtilities script: look it up by
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# I have placed such a function into the ABC-dbUtilities.R script: look it up by
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# clicking on dbFetchPrositeFeatures() in the Environment pane.
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# Test:
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@ -251,7 +251,7 @@ dbFetchPrositeFeatures <- function(ID) {
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# psName char PROSITE motif name
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# If the operation is not successful, a 0-length data frame is returned.
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URL <- "http://prosite.expasy.org/cgi-bin/prosite/PSScan.cgi"
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URL <- "https://prosite.expasy.org/cgi-bin/prosite/PSScan.cgi"
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response <- POST(URL,
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body = list(meta = "opt1",
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