Nothing
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE)
## ----load, warning=FALSE, message=FALSE---------------------------------------
library(InterMineR)
listMines()
## ----humanmine, warning=FALSE, message=FALSE----------------------------------
# load HumaMine
im <- initInterMine(mine=listMines()["HumanMine"])
im
## ----get_queries, warning=FALSE, message=FALSE--------------------------------
# Get template (collection of pre-defined queries)
template = getTemplates(im)
head(template)
## ----gene_templates, warning=FALSE, message=FALSE-----------------------------
# Get gene-related templates
template[grep("gene", template$name, ignore.case=TRUE),]
## ----gene_pathway, warning=FALSE, message=FALSE-------------------------------
# Query for gene pathways
queryGenePath = getTemplateQuery(
im = im,
name = "Gene_Pathway"
)
queryGenePath
## ----run_genepath, warning=FALSE, message=FALSE-------------------------------
resGenePath <- runQuery(im, queryGenePath)
head(resGenePath)
## ----modify_query, warning=FALSE, message=FALSE-------------------------------
# modify directly the value of the first constraint from the list query
queryGenePath$where[[1]][["value"]] <- "ABO"
# or modify the value of the first constraint from the list query with setConstraints
queryGenePath$where = setConstraints(
modifyQueryConstraints = queryGenePath,
m.index = 1,
values = list("ABO")
)
queryGenePath$where
## ----modify_query2, warning=FALSE, message=FALSE------------------------------
resGenePath <- runQuery(im, queryGenePath)
head(resGenePath)
## ----new_constraint, warning=FALSE, message=FALSE-----------------------------
newConstraint <- list(
path=c("Gene.pathways.name"),
op=c("="),
value=c("ABO blood group biosynthesis"),
code=c("B")
)
queryGenePath$where[[2]] <- newConstraint
queryGenePath$where
## ----new_constraint2, warning=FALSE, message=FALSE----------------------------
resGenePath <- runQuery(im, queryGenePath)
resGenePath
## ----add_column3, warning=FALSE, message=FALSE--------------------------------
# use setQuery function which will create an InterMineR-class query
queryGenePath.InterMineR = setQuery(
inheritQuery = queryGenePath,
select = c(queryGenePath$select,
"Gene.diseases.name")
)
getSelect(queryGenePath.InterMineR)
#queryGenePath.InterMineR@select
# or assign new column directly to the existing list query
queryGenePath$select[[8]] <- "Gene.diseases.name"
queryGenePath$select
# run queries
resGenePath.InterMineR <- runQuery(im, queryGenePath.InterMineR)
resGenePath <- runQuery(im, queryGenePath)
all(resGenePath == resGenePath.InterMineR)
head(resGenePath, 3)
## ----constrant_logic, warning=FALSE, message=FALSE----------------------------
queryGenePath$constraintLogic <- "A and B"
queryGenePath$constraintLogic
## ----constrant_logic2, warning=FALSE, message=FALSE---------------------------
resGenePath <- runQuery(im, queryGenePath)
resGenePath
## ----gene_go, warning=FALSE, message=FALSE------------------------------------
queryGeneGO <- getTemplateQuery(im, "Gene_GO")
queryGeneGO
## ----gene_go2, warning=FALSE, message=FALSE-----------------------------------
queryGeneGO$select <- queryGeneGO$select[2:5]
queryGeneGO$select
## ----gene_go3, warning=FALSE, message=FALSE-----------------------------------
queryGeneGO$where[[1]][["value"]] <- "ABO"
queryGeneGO$where
## ----gene_go4, warning=FALSE, message=FALSE-----------------------------------
resGeneGO <- runQuery(im, queryGeneGO )
head(resGeneGO)
## ----metal_ion_binding, warning=FALSE, message=FALSE--------------------------
queryGOGene <- getTemplateQuery(im, "GOterm_Gene")
queryGOGene
## ----metal_ion_binding2, warning=FALSE, message=FALSE-------------------------
queryGOGene$select <- queryGOGene$select[2:5]
queryGOGene$select
## ----metal_ion_binding3, warning=FALSE, message=FALSE-------------------------
queryGOGene$where[[1]]$value = "metal ion binding"
queryGOGene$where
## ----metal_ion_binding4, warning=FALSE, message=FALSE-------------------------
resGOGene <- runQuery(im, queryGOGene )
head(resGOGene)
## ----neighbor_genes, warning=FALSE, message=FALSE-----------------------------
queryGeneLoc = getTemplateQuery(im, "Gene_Location")
queryGeneLoc$where[[2]][["value"]] = "ABCA6"
resGeneLoc= runQuery(im, queryGeneLoc)
resGeneLoc
## ----neighbor_genes2, warning=FALSE, message=FALSE----------------------------
# set constraints
constraints = setConstraints(
paths = c(
"Gene.chromosome.primaryIdentifier",
"Gene.locations.start",
"Gene.locations.end",
"Gene.organism.name"
),
operators = c(
"=",
">=",
"<=",
"="
),
values = list(
resGeneLoc[1, "Gene.chromosome.primaryIdentifier"],
as.character(as.numeric(resGeneLoc[1, "Gene.locations.start"])-50000),
as.character(as.numeric(resGeneLoc[1, "Gene.locations.end"])+50000),
"Homo sapiens"
)
)
# set InterMineR-class query
queryNeighborGene = setQuery(
select = c("Gene.primaryIdentifier",
"Gene.symbol",
"Gene.chromosome.primaryIdentifier",
"Gene.locations.start",
"Gene.locations.end",
"Gene.locations.strand"),
where = constraints
)
summary(queryNeighborGene)
## ----neighbor_genes6, warning=FALSE, message=FALSE----------------------------
resNeighborGene <- runQuery(im, queryNeighborGene)
resNeighborGene
## ----neighbor_genes7, warning=FALSE, message=FALSE----------------------------
resNeighborGene$Gene.locations.strand[which(resNeighborGene$Gene.locations.strand==1)]="+"
resNeighborGene$Gene.locations.strand[which(resNeighborGene$Gene.locations.strand==-1)]="-"
gene.idx = which(nchar(resNeighborGene$Gene.symbol)==0)
resNeighborGene$Gene.symbol[gene.idx]=resNeighborGene$Gene.primaryIdentifier[gene.idx]
## ----load_gviz, warning=FALSE, message=FALSE----------------------------------
require(Gviz)
## ----plottracks, warning=FALSE, message=FALSE---------------------------------
annTrack = AnnotationTrack(
start=resNeighborGene$Gene.locations.start,
end=resNeighborGene$Gene.locations.end,
strand=resNeighborGene$Gene.locations.strand,
chromosome=resNeighborGene$Gene.chromosome.primaryIdentifier[1],
genome="GRCh38",
name="around ABCA6",
id=resNeighborGene$Gene.symbol)
gtr <- GenomeAxisTrack()
itr <- IdeogramTrack(genome="hg38", chromosome="chr17")
plotTracks(list(gtr, itr, annTrack), shape="box", showFeatureId=TRUE, fontcolor="black")
## ----sessioInfo---------------------------------------------------------------
sessionInfo()
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