Avaliação individual do grupo 3 formado a partir dos marcadores contidos neste arquivo. Para mais informações acesse a página principal.
load("LGs_force_HMM_Markers_First_Check.RData")
load("LGs_safe_HMM_Markers_First_Check.RData")
library(onemap)
data1 <- read_mapmaker(file = "data_with_head.raw")
LOD <- suggest_lod(data1)
rf2points <- rf_2pts(data1, LOD = LOD, max.rf = 0.5)
#Marcadores presentes no "force" e ausentes no "safe" de HMM
comp_unsafe <- LGs.HMM.force[[3]]$seq.num %in% LGs.HMM.safe[[3]]$seq.num
pos_unsafe <- which(comp_unsafe == FALSE)
unsafe <- LGs.HMM.force[[3]]$seq.num[pos_unsafe]
unsafe
## [1] 319 280 278 210 65 151 177 212 126 147 313 38 64 305 293 129 7
## [18] 109 149 106 102 98 346 284 114 138 261 306 52 85 323 336 300 282
## [35] 122 63 157 153 171 75 174 94 263 292 309 314 257 329 158 194 108
## [52] 105 195 119 3 205 92 30 228 48 110 312 79 211 120 272 351 82
## [69] 162
Desde já podemos comparar os grupos formados com o mapa já publicado, para sabermos a correspondência entre ambos. Para facilitar, fizemos esta tabela com os nomes dos marcadores que compoem o mapa publicado, sendo que cada coluna da tabela corresponde à um grupo de ligação.
ref <- read.csv(file = "LG.csv", stringsAsFactors = FALSE)
names <- colnames(data1$geno)[LGs.HMM.force[[3]]$seq.num]
comp <- pos <- lgs <- pos2 <- num_lgs <- list()
for (i in 1:length(ref)){
comp[[i]] <- ref[[i]] %in% names
pos[[i]] <- which(comp[[i]] == TRUE)
lgs[[i]] <- ref[[i]][pos[[i]]]
pos2[[i]] <- names %in% lgs[[i]]
num_lgs[[i]] <- LGs.HMM.force[[3]]$seq.num[pos2[[i]]]
}
comp
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Aqui confirmamos o que já desconfiávamos a partir das observações do heatmaps gerados pelo RCD e por HMM: os marcadores que compoem esse grupo são provindos de três outros. Foi feita a separação deles conforme a observação do heatmap gerado pelo HMM:
rf_graph_table(LGs.HMM.force[[3]], scale = 1.8,
inter = FALSE)
## Do primeiro conjunto
# Do marcador 210 até o 197
seq1 <- LGs.HMM.force[[3]]$seq.num[1:26]
names_seq1 <- colnames(data1$geno)[seq1]
comp <- list()
for (i in 1:length(ref)){
comp[[i]] <- ref[[i]] %in% names_seq1
}
# Maioria no grupo 7
comp
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## Do segundo conjunto 98 até o 58
seq2 <- LGs.HMM.force[[3]]$seq.num[27:62]
names_seq2 <- colnames(data1$geno)[seq2]
comp <- list()
for (i in 1:length(ref)){
comp[[i]] <- ref[[i]] %in% names_seq2
}
# Todos no grupo 10
comp
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## Do terceiro conjunto do 194 até o 162
seq3 <- LGs.HMM.force[[3]]$seq.num[63:83]
names_seq3 <- colnames(data1$geno)[seq3]
comp <- list()
for (i in 1:length(ref)){
comp[[i]] <- ref[[i]] %in% names_seq3
}
# Todos no grupo 3
comp
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Obsevamos que alguns marcadores do mapa publicado agora se alocaram melhor em outros grupos, mantemos a separaçao conforme o Heatmap.
mk_seq1 <- make_seq(rf2points,seq1)
LG3.1.ord <- order_seq(mk_seq1)
LG3.1.seq <- make_seq(LG3.1.ord, "force")
rf_graph_table(LG3.1.seq, scale = 2.2,
inter = FALSE)
Conforme heatmap gerado pela cadeia de markov e as sugestões do comando “safe”, removemos alguns marcadores duvidosos do mapa na intenção de aprimorar o ordenamento.
Temp <- c(229, 135, 197, 278, 280, 319, 207, 210, 109, 102, 293, 64, 7)
Exc <- LG3.1.seq$seq.num %in% Temp
pos <- which(Exc == TRUE)
LG3.1.Exc <- LG3.1.seq$seq.num[-pos]
LG3.1 <- make_seq(rf2points, LG3.1.Exc)
LG3.1.ord <- order_seq(LG3.1, n.init = 5, THRES = 3,
touchdown = TRUE, draw.try = FALSE)
LG3.1.ord.seq <- make_seq(LG3.1.ord, "force")
rf_graph_table(LG3.1.ord.seq, scale = 2.2,
inter = FALSE)
Temp
Exten.LG3.1 <- try_seq(LG3.1.ord.seq, 210)
Exten.LG3.1
pos <- Exten.LG3.1$LOD == 0
pos <- which(pos == TRUE)
Check <- make_seq(Exten.LG3.1, pos)
LG3.1.ord.seq
Check
c(LG3.1.ord.seq$seq.like, Check$seq.like)
rf_graph_table(Check, scale = 1.5, main = paste("LG", 1, "- HMM"),
inter = FALSE, axis.cex = 0.75)
LG3.1.exp <- make_seq(Exten.LG3.1, pos)
############
Temp
Exten.LG3.1 <- try_seq(LG3.1.exp,102)
Exten.LG3.1
pos <- Exten.LG3.1$LOD == 0
pos <- which(pos == TRUE)
Check <- make_seq(Exten.LG3.1, pos)
LG3.1.exp
Check
c(LG3.1.ord.seq$seq.like, Check$seq.like)
rf_graph_table(Check, scale = 1.5, main = paste("LG", 1, "- HMM"),
inter = FALSE, axis.cex = 0.75)
LG3.1.exp <- make_seq(Exten.LG3.1, pos)
############
Temp
Exten.LG3.1 <- try_seq(LG3.1.exp,293)
Exten.LG3.1
pos <- Exten.LG3.1$LOD == 0
pos <- which(pos == TRUE)
Check <- make_seq(Exten.LG3.1, pos)
LG3.1.exp
Check
c(LG3.1.ord.seq$seq.like, Check$seq.like)
rf_graph_table(Check, scale = 1.5, main = paste("LG", 1, "- HMM"),
inter = FALSE, axis.cex = 0.75)
LG3.1.exp <- make_seq(Exten.LG3.1, pos)
############
Temp
Exten.LG3.1 <- try_seq(LG3.1.exp,64)
Exten.LG3.1
pos <- Exten.LG3.1$LOD == 0
pos <- which(pos == TRUE)
Check <- make_seq(Exten.LG3.1, pos)
LG3.1.exp
Check
c(LG3.1.ord.seq$seq.like, Check$seq.like)
rf_graph_table(Check, scale = 1.5, main = paste("LG", 1, "- HMM"),
inter = FALSE, axis.cex = 0.75)
LG3.1.exp <- make_seq(Exten.LG3.1, pos)
#################
Temp
Exten.LG3.1 <- try_seq(LG3.1.exp,7)
Exten.LG3.1
pos <- Exten.LG3.1$LOD == 0
pos <- which(pos == TRUE)
Check <- make_seq(Exten.LG3.1, pos)
LG3.1.exp
Check
c(LG3.1.ord.seq$seq.like, Check$seq.like)
rf_graph_table(Check, scale = 1.5, main = paste("LG", 1, "- HMM"),
inter = FALSE, axis.cex = 0.75)
LG3.1.exp <- make_seq(Exten.LG3.1, pos)
#################
LG3.1 <- LG3.1.exp
rf_graph_table(LG3.1, scale = 1.5, main = paste("LG", 3.1, "- HMM"),
inter = FALSE, axis.cex = 0.75)
save(LG3.1, file = "LG3.1.Rdata")
### Sobraram
comp <- seq1 %in% LG3.1.exp$seq.num
pos <- which(comp == FALSE)
trash.LG3 <- seq1[pos]
trash.LG3
## [1] 229 207 319 280 278 135 109 197
Ao serem inseridos no mapa, esses marcadores aumentavam o tamanho, diminuiam a verossimilhança e fugiam do padrão esperado no heatmap
mk_seq2 <- make_seq(rf2points,c(seq2))
LG3.2.ord <- order_seq(mk_seq2)
LG3.2.seq <- make_seq(LG3.2.ord, "force")
rf_graph_table(LG3.2.seq, scale = 2.2,
inter = FALSE)
Conforme heatmap gerado pela cadeia de markov e as sugestões do comando “safe”, removemos alguns marcadores duvidosos do mapa na intenção de aprimorar o ordenamento.
Temp <- c(344, 188, 50,94,24)
Exc <- LG3.2.seq$seq.num %in% Temp
pos <- which(Exc == TRUE)
LG3.2.Exc <- LG3.2.seq$seq.num[-pos]
LG3.2 <- make_seq(rf2points, LG3.2.Exc)
LG3.2.ord <- order_seq(LG3.2, n.init = 5, THRES = 3,
touchdown = TRUE, draw.try = FALSE)
LG3.2.ord.seq <- make_seq(LG3.2.ord, "force")
rf_graph_table(LG3.2.ord.seq, scale = 2.2,
inter = FALSE)
Temp
Exten.LG3.2 <- try_seq(LG3.2.ord.seq, 94)
Exten.LG3.2
pos <- Exten.LG3.2$LOD == 0
pos <- which(pos == TRUE)
Check <- make_seq(Exten.LG3.2, pos)
LG3.2.ord.seq
Check
c(LG3.2.ord.seq$seq.like, Check$seq.like)
rf_graph_table(Check, scale = 1.5, main = paste("LG", 1, "- HMM"),
inter = FALSE, axis.cex = 0.75)
LG3.2.exp <- make_seq(Exten.LG3.2, pos)
################
Temp
Exten.LG3.2 <- try_seq(LG3.2.exp, 24)
Exten.LG3.2
pos <- Exten.LG3.2$LOD == 0
pos <- which(pos == TRUE)
Check <- make_seq(Exten.LG3.2, pos)
LG3.2.exp
Check
c(LG3.2.ord.seq$seq.like, Check$seq.like)
# Se for realmente adicionar o marcador, tirar o comentário
LG3.2.exp <- make_seq(Exten.LG3.2, pos)
LG3.2 <- LG3.2.exp
rf_graph_table(LG3.2, scale = 1.5, main = paste("LG", 3.2, "- HMM"),
inter = FALSE, axis.cex = 0.75)
save(LG3.2, file = "LG3.2.Rdata")
##### Sobraram:
comp <- seq2 %in% LG3.2.exp$seq.num
pos <- which(comp == FALSE)
trash.LG3 <- seq2[pos]
trash.LG3
## [1] 344 188 50
Ao serem inseridos no mapa, esses marcadores aumentavam o tamanho, diminuiam a verossimilhança e fugiam do padrão esperado no heatmap.
mk_seq3 <- make_seq(rf2points,seq3)
LG3.3.ord <- order_seq(mk_seq3)
LG3.3.seq <- make_seq(LG3.3.ord, "force")
rf_graph_table(LG3.3.seq, scale = 2.2,
inter = FALSE)
Temp <- c(211, 82, 194, 79, 110, 272, 195, 205)
Exc <- LG3.3.seq$seq.num %in% Temp
pos <- which(Exc == TRUE)
LG3.3.Exc <- LG3.3.seq$seq.num[-pos]
LG3.3 <- make_seq(rf2points, LG3.3.Exc)
LG3.3.ord <- order_seq(LG3.3, n.init = 5, THRES = 3,
touchdown = TRUE, draw.try = FALSE)
LG3.3.ord.seq <- make_seq(LG3.3.ord, "force")
rf_graph_table(LG3.3.ord.seq, scale = 2.2,
inter = FALSE)
LG3.3 <- LG3.3.ord.seq
Temp
Exten.LG3.3 <- try_seq(LG3.3.ord.seq, 211)
Exten.LG3.3
pos <- Exten.LG3.3$LOD == 0
pos <- which(pos == TRUE)
Check <- make_seq(Exten.LG3.3, pos)
LG3.3.ord.seq
Check
c(LG3.3.ord.seq$seq.like, Check$seq.like)
rf_graph_table(Check, scale = 1.5, main = paste("LG", 1, "- HMM"),
inter = FALSE, axis.cex = 0.75)
LG3.3.exp <- make_seq(Exten.LG3.3, pos)
################
Temp
Exten.LG3.3 <- try_seq(LG3.3.exp, 82)
Exten.LG3.3
pos <- Exten.LG3.3$LOD == 0
pos <- which(pos == TRUE)
Check <- make_seq(Exten.LG3.3, pos)
LG3.3.exp
Check
c(LG3.3.ord.seq$seq.like, Check$seq.like)
rf_graph_table(Check, scale = 1.5, main = paste("LG", 3.3, "- HMM"),
inter = FALSE, axis.cex = 0.75)
LG3.3.exp <- make_seq(Exten.LG3.3, pos)
################
Temp
Exten.LG3.3 <- try_seq(LG3.3.exp, 79)
Exten.LG3.3
pos <- Exten.LG3.3$LOD == 0
pos <- which(pos == TRUE)
Check <- make_seq(Exten.LG3.3, pos)
LG3.3.exp
Check
c(LG3.3.ord.seq$seq.like, Check$seq.like)
rf_graph_table(Check, scale = 1.5, main = paste("LG", 3.3, "- HMM"),
inter = FALSE, axis.cex = 0.75)
LG3.3.exp <- make_seq(Exten.LG3.3, pos)
################
Temp
Exten.LG3.3 <- try_seq(LG3.3.exp, 272)
Exten.LG3.3
pos <- Exten.LG3.3$LOD == 0
pos <- which(pos == TRUE)
Check <- make_seq(Exten.LG3.3, pos)
LG3.3.exp
Check
c(LG3.3.ord.seq$seq.like, Check$seq.like)
LG3.3.exp <- make_seq(Exten.LG3.3, pos)
LG3.3 <- LG3.3.exp
rf_graph_table(LG3.3, scale = 1.5, main = paste("LG", 3.3, "- HMM"),
inter = FALSE, axis.cex = 0.75)
save(LG3.3, file = "LG3.3.Rdata")
##### Sobraram:
comp <- seq3 %in% LG3.3.exp$seq.num
pos <- which(comp == FALSE)
trash.LG3 <- seq3[pos]
trash.LG3
## [1] 194 195 205 110