In vjcitn/MultiAssayBT: MultiAssayBT bigtable back end for multiassay experiment

Introduction

It is challenging to authenticate in a non-interactive setting. All chunks here are eval=FALSE, but a PDF will be made available with a completed run.

Here's a setup.

library(GoogleGenomics)
apik = Sys.getenv("GOOGLE_API_KEY")
authenticate(apiKey=apik)
getBQ2 = function() {
library(dplyr)
library(bigrquery)
my_billing = "cgc-05-0009" # replace billing info here with your own
src_bigquery("cgc-05-0009", "yriMulti", billing = my_billing)
}

suppressPackageStartupMessages({
library(MABT)
})
bq = getBQ2()
bq
bano = 
  RangedBT("cgc-05-0009", bq, 
   "banovichSE_expressionData", 
    "banovichSE_rowRanges")
bano
nrow(bano)

vjcitn/MultiAssayBT documentation built on May 3, 2019, 6:13 p.m.