View tabula-muris-sensis.R
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## | |
## setup | |
## | |
if (!"BiocManager" %in% rownames(installed.packages())) | |
install.packages("BiocManager", repository = "https://cran.r-project.org") | |
BiocManager::install( | |
## only reinstall if newer version available | |
c("cellxgenedp", "plotly") | |
) |
View hca2021bioc.R
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## | |
## Preliminiaries: install infrasctructure and required packages | |
## | |
## We've got to be using a least R version 4.1 | |
my_R_version <- | |
numeric_version(paste(R.Version()[c("major", "minor")], collapse = ".")) | |
stopifnot(my_R_version >= "4.1") | |
View hca-demo-sept-7-2021.R
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options(width=160) | |
library(dplyr) | |
## BiocManager::install("Bioconductor/hca") | |
library(hca) | |
## projects available in the HCA | |
projects <- projects() | |
projects | |
## a specific project |
View week-2-demo.R
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if (!"AnVIL" %in% rownames(installed.packages())) | |
BiocManager::install("AnVIL") | |
library(AnVIL) | |
this_workspace = avworkspace() | |
hca = "featured-workspaces-hca/HCA_Optimus_Pipeline" | |
thousand_genomes = "anvil-datastorage/1000G-high-coverage-2019" | |
## AnVIL 'namespace' / 'name' == workspace |
View AWS_ECS_REST.Rmd
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# AWS ECS access via REST | |
Resources | |
- [Getting Started with ECS][ECS] | |
- [REST API][API] | |
[ECS]: https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-ecs-ec2.html | |
[API]: https://docs.aws.amazon.com/AmazonECS/latest/APIReference/Welcome.html |
View dep-graph.R
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package_dependencies <- tools::package_dependencies | |
trim <- function(deps, drop) { | |
lvls = names(deps) | |
df = data.frame( | |
pkg = factor(rep(names(deps), lengths(deps)), levels = lvls), | |
dep = unlist(deps, use.names = FALSE) | |
) | |
df = df[!df$dep %in% drop,, drop = FALSE] | |
split(df$dep, df$pkg) |
View deps_broken.R
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library(BiocPkgTools) | |
library(dplyr) | |
deps_broken <- | |
function( | |
pkg, | |
repos = BiocManager::repositories(), | |
version = BiocManager::version() | |
) | |
{ |
View obo_graph.R
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obo = readLines("go.obo") | |
## | |
## Clean data | |
## | |
## blank lines separate different 'groups' in the obo | |
group <- cumsum(!nzchar(obo)) | |
## keep groups that have the [Term] label |
View bioc_first_appearance.R
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library(yaml) | |
library(dplyr) | |
library(tibble) | |
library(lubridate) | |
library(readr) | |
library(memoise) | |
get_releases <- | |
function() | |
{ |
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