convertToRangedSummarizedExperiment {InterMineR} | R Documentation

## Convert experimental results retrieved by InterMineR queries to an object of the `RangedSummarizedExperiment` class

### Description

`convertToRangedSummarizedExperiment` constitutes a wrapper function for converting genomic information and experimental data from InterMine to an object of the `RangedSummarizedExperiment` class.

### Usage

    convertToRangedSummarizedExperiment(
      im,
      dataset,
      SampleColumn,
      GeneColumn,
      ValueColumn,
      OrganismValue,
      colsForSampleMetadata,
      exonsForRowRanges = FALSE
    )

### Arguments

`im` | a list containing the base URL and API token.
`dataset` | a data.frame retrieved with InterMineR queries that contains experimental data from high-throughput assays.
`SampleColumn` | a character string or an integer indicating which column of the dataset contains the samples.
`GeneColumn` | a character string or an integer indicating which column of the dataset contains the genes.
`ValueColumn` | a character string or an integer indicating which column of the dataset contains the experimental data.
`OrganismValue` | a character string with the name of the organism from which the genomic information are retrieved.
`colsForSampleMetadata` | an integer vector indicating the columns of the dataset which will be assigned as sample metadata in the colData argument of the `RangedSummarizedExperiment`.
`exonsForRowRanges` | a logical value indicating whether the rowRanges argument of the `RangedSummarizedExperiment` should be assigned with a GRangeslist containing only annotations about the genes (default) or annotations about all exons of each gene.

### Details

The InterMineR package provides a flexible interface to InterMine web services, which allow for rapid retrieval of various genomic information.

`convertToRangedSummarizedExperiment` function facilitates the conversion of genomic information and experimental data from high-throughput assays, which are retrieved by using InterMineR queries, to an object of the `RangedSummarizedExperiment` class.

It is noteworthy that the `reshape` function is used to convert the experimental data from the InterMineR format (long format) to the matrix (wide format) assigned to the assays argument of the `SummarizedExperiment`.

### Value

an object of the `RangedSummarizedExperiment` class containing genomic information and experimental data of high-throughput assays, which are retrieved with the InterMineR queries system.

### Author(s)

InterMine Team

### References

`SummarizedExperiment` for Coordinating Experimental Assays, Samples, and Regions of Interest

### See Also

`RangedSummarizedExperiment`, `link{convertToGRanges}`

### Examples

    # 10 Drosophila melanogaster genes of interest
    Drosophila.genes = c("BEAF-32", "Antp", "bcd", "caup", "tup", "E2f2", "dsx", "so", "toy", "Lim1")

    # retrieve microarray time course experimental data for Drosophila.genes
    # get FlyMine instance
    im.fly = initInterMine(listMines()["FlyMine"])

    # get FlyMine microarray time course template query
    queryForData = getTemplateQuery(im.fly, "Gene_TimeCourseExpression")

    test.data = list(NULL)
    ind.null = c()

    for(i in seq(length(Drosophila.genes))){
      # set value in gene constraint
      queryForData$where[[3]]$value = as.character(Drosophila.genes[i])

      # run query and save the results of genes that exist in the Microarray time course dataset
      r = runQuery(im.fly, queryForData)

      ind.null = c(ind.null, is.null(r))

      test.data[[i]] = r

    }

    # remove genes for which no experimental data were retrieved
    test.data = test.data[which(!ind.null)]

    # rbind data together
    test.data = do.call(rbind, test.data)

    # using integer index for columns in arguments
    test1 = convertToRangedSummarizedExperiment(
      im = im.fly,
      dataset = test.data,
      SampleColumn = 2,
      GeneColumn = 1,
      ValueColumn = 3,
      OrganismValue = "Drosophila melanogaster",
      colsForSampleMetadata = 4:7,
      exonsForRowRanges = TRUE
    )

    test1

    # using directly column names in arguments
    test2 = convertToRangedSummarizedExperiment(
      im = im.fly,
      dataset = test.data,
      SampleColumn = "Gene.microArrayResults.assays.sample2",
      GeneColumn = "Gene.symbol",
      ValueColumn = "Gene.microArrayResults.value",
      OrganismValue = "Drosophila melanogaster",
      colsForSampleMetadata = 4:7,
      exonsForRowRanges = TRUE
    )

    test2

[Package InterMineR version 1.4.1 Index]