compose_description_v1.4.2 {biocompute} | R Documentation |
Compose BioCompute Object - Description Domain (v1.4.2)
Description
Compose BioCompute Object - Description Domain (v1.4.2)
Usage
compose_description_v1.4.2(
keywords = NULL,
xref = NULL,
platform = list("Seven Bridges Platform"),
pipeline_meta = NULL,
pipeline_prerequisite = NULL,
pipeline_input = NULL,
pipeline_output = NULL
)
compose_description(
keywords = NULL,
xref = NULL,
platform = list("Seven Bridges Platform"),
pipeline_meta = NULL,
pipeline_prerequisite = NULL,
pipeline_input = NULL,
pipeline_output = NULL
)
Arguments
keywords |
Character vector. A list of keywords to aid in searchability and description of the experiment. |
xref |
Data frame. A list of the databases and/or ontology IDs that are cross-referenced in the BCO. |
platform |
Character string or list. Reference to a particular deployment of an existing platform where this BCO can be reproduced. |
pipeline_meta |
Data frame. Pipeline metadata.
Variables include |
pipeline_prerequisite |
Data frame. Packages or prerequisites
for running the tools used. Variables include |
pipeline_input |
Data frame. Input files for the tools.
Variables include |
pipeline_output |
Data frame. Output files for the tools.
Variables include |
Value
A list of class bco.domain
Examples
keywords <- c("HCV1a", "Ledipasvir", "antiviral resistance", "SNP", "amino acid substitutions")
xref <- data.frame(
"namespace" = c("pubchem.compound", "pubmed", "so", "taxonomy"),
"name" = c("PubChem-compound", "PubMed", "Sequence Ontology", "Taxonomy"),
"ids" = I(list(
"67505836",
"26508693",
c("SO:000002", "SO:0000694", "SO:0000667", "SO:0000045"),
"31646"
)),
"access_time" = c(
as.POSIXct("2017-01-20T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST"),
as.POSIXct("2017-01-21T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST"),
as.POSIXct("2017-01-22T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST"),
as.POSIXct("2017-01-23T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST")
),
stringsAsFactors = FALSE
)
platform <- "Seven Bridges Platform"
pipeline_meta <- data.frame(
"step_number" = c("1"),
"name" = c("HIVE-hexagon"),
"description" = c("Alignment of reads to a set of references"),
"version" = c("1.3"),
stringsAsFactors = FALSE
)
pipeline_prerequisite <- data.frame(
"step_number" = rep("1", 5),
"name" = c(
"Hepatitis C virus genotype 1",
"Hepatitis C virus type 1b complete genome",
"Hepatitis C virus (isolate JFH-1) genomic RNA",
"Hepatitis C virus clone J8CF, complete genome",
"Hepatitis C virus S52 polyprotein gene"
),
"uri" = c(
"https://www.ncbi.nlm.nih.gov/nuccore/22129792",
"https://www.ncbi.nlm.nih.gov/nuccore/5420376",
"https://www.ncbi.nlm.nih.gov/nuccore/13122261",
"https://www.ncbi.nlm.nih.gov/nuccore/386646758",
"https://www.ncbi.nlm.nih.gov/nuccore/295311559"
),
"access_time" = c(
as.POSIXct("2017-01-24T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST"),
as.POSIXct("2017-01-24T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST"),
as.POSIXct("2017-01-24T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST"),
as.POSIXct("2017-01-24T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST"),
as.POSIXct("2017-01-24T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST")
),
stringsAsFactors = FALSE
)
pipeline_input <- data.frame(
"step_number" = rep("1", 2),
"uri" = c(
"https://example.com/dna.cgi?cmd=objFile&ids=514683",
"https://example.com/dna.cgi?cmd=objFile&ids=514682"
),
"access_time" = c(
as.POSIXct("2017-01-24T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST"),
as.POSIXct("2017-01-24T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST")
),
stringsAsFactors = FALSE
)
pipeline_output <- data.frame(
"step_number" = rep("1", 2),
"uri" = c(
"https://example.com/data/514769/allCount-aligned.csv",
"https://example.com/data/514801/SNPProfile*.csv"
),
"access_time" = c(
as.POSIXct("2017-01-24T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST"),
as.POSIXct("2017-01-24T09:40:17", format = "%Y-%m-%dT%H:%M:%S", tz = "EST")
),
stringsAsFactors = FALSE
)
compose_description(
keywords, xref, platform,
pipeline_meta, pipeline_prerequisite, pipeline_input, pipeline_output
) %>% convert_json()