comparison encode.R @ 73:ca6af7b12073 draft

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author nicolas
date Fri, 28 Oct 2016 08:45:13 -0400
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72:366a9dbec192 73:ca6af7b12073
1 ########################################################
2 #
3 # creation date : 04/01/16
4 # last modification : 17/09/16
5 # author : Dr Nicolas Beaume
6 # owner : IRRI
7 #
8 ########################################################
9
10 ############################ helper functions #######################
11
12 # encode one position in one individual
13 encodeGenotype.position <- function(x, major, code=c(0,1,2), sep=""){
14 res <- x
15 if(!is.na(x)) {
16 if(isHeterozygous(x, sep = sep)) {
17 # heterozygous
18 res <- code[2]
19 } else {
20 # determine whether it is the minor or major allele
21 x <- unlist(strsplit(x, sep))
22 # need to check only one element as we already know it is a homozygous
23 if(length(x) > 1) {
24 x <- x[1]
25 }
26 if(x==major) {
27 res <- code[3]
28 } else {
29 res <- code[1]
30 }
31 }
32 } else {
33 # keep NA as NA
34 res <- NA
35 }
36 return(res)
37 }
38
39 # rewrite a marker to make an exact count of the allele for the current marker
40 encodeGenotype.rewrite <- function(x, sep=""){
41 res <- x
42 if(!is.na(x)) {
43 if(length(unlist(strsplit(x,sep)))==1) {
44 # in case of homozygous, must be counted 2 times so the caracter is written 2 times
45 res <- c(x,x)
46 } else {
47 # heterozygous
48 res <- unlist(strsplit(x, split=sep))
49 }
50 } else {
51 res <- NA
52 }
53 return(res)
54 }
55
56 # encode one individual
57 encodeGenotype.vec <- function(indiv, sep="", code=c(0,1,2)){
58 # rewrite genotype to make sure everything is written as a double caracter value
59 newIndiv <- unlist(lapply(as.character(indiv), encodeGenotype.rewrite, sep))
60 # compute the occurcence of each genotype to determine major an minor allele
61 stat <- table(as.character(newIndiv))
62 major <- names(stat)[which.max(stat)]
63 # Encode using the appropriate code
64 indiv <- unlist(lapply(indiv, encodeGenotype.position, major, code, sep))
65 return(indiv)
66 }
67
68 # determine if the genotype is an homozygous or heterozygous one
69 # genotype must be written with two characters, even homozygous
70 # (see encodeGenotype.rewrite() function )
71 isHeterozygous <- function(genotype, sep=""){
72 bool <- F
73 # case of NA, can't be determined
74 if(is.na(genotype)){
75 bool <- NA
76 } else {
77 # check whether both element of the genotype are the same or not
78 x <- unlist(strsplit(genotype, sep))
79 if(length(x) > 1 & !(x[1] %in% x[2])) {
80 bool <- T
81 }
82
83 }
84 return(bool)
85 }
86
87 # check if encoding has been made properly. return a boolean vector
88 # which has the same length that the number of columns of the input matrix
89 # at marker i, check[i] is true if code[3] is larger than code[1], false otherwise
90 # please note that this function is not used in the current tool and let
91 # by convinience for being used outside of galaxy
92 checkEncoding <- function(encoded, code=c(0,1,2)) {
93 check <- NULL
94 for(i in 1:ncol(encoded)) {
95 # find major an minor allele
96 major <- length(which(encoded[,i]==code[3]))
97 minor <- length(which(encoded[,i]==code[1]))
98 # comaprison
99 if(major >= minor) {
100 check <- c(check, T)
101 } else {
102 check <- c(check, F)
103 }
104 }
105 return(check)
106 }
107
108 ################################## main function ###########################
109 # encode all individuals
110 encodeGenotype <- function(raw, sep="", code=c(0,1,2), outPath){
111 # encode genotype
112 encoded <- apply(raw, 2, encodeGenotype.vec, sep, code)
113 # set all NA to -1 (thus encoding schems with -1 are not allowed)
114 encoded[is.na(encoded)] <- -1
115 write.table(encoded, file=paste(outPath,".csv", sep=""), row.names = F, sep="\t")
116 }
117
118 ############################ main #############################
119 # load argument from xml file
120 cmd <- commandArgs(T)
121 source(cmd[1])
122 # load genotype
123 genotype <- read.table(genotype, sep="\t", stringsAsFactors = F, h=T)
124 code <- c(0,1,2)
125 encodeGenotype(raw=genotype, sep=sep, code = code, outPath = out)
126 cat(paste(out,".csv", "\n", sep=""))