DeSciDe (Deciphering Scientific Discoveries) is an R package designed for genomic and proteomic data analysis, PubMed search, protein interaction network visualization, and comprehensive data summarization.
Before installing the DeSciDe
package, make sure you have BiocManager
installed:
# Install Bioconductor dependencies
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("STRINGdb")
BiocManager::install("ComplexHeatmap")
DeSciDe is available on CRAN, and it can be installed with:
# Install DeSciDe via CRAN
install.packages("DeSciDe")
You can install the development version of DeSciDe from GitHub using the devtools
package:
# Install devtools if you haven't already
install.packages("devtools")
# Install DeSciDe from GitHub
devtools::install_github("camdouglas/DeSciDe")
Below is a basic example of how to use DeSciDe to analyze a list of genes and terms:
# Load the package
library(DeSciDe)
# Define your list of genes and terms
genes_list <- c("JUN", "MYC", "HDAC1", "TRIM33")
terms_list <- c("cancer", "romidepsin")
# Run the analysis pipeline
results <- descide(
genes_list = genes_list,
terms_list = terms_list
)
# View PubMed search results
head(results$summary_results)
genes_list
: A list of gene IDs.terms_list
: A list of search terms.rank_method
: Method to rank results ("weighted" or "total"). Defaults to "weighted".species
: NCBI taxon ID of the species. Defaults to 9606 (Homo sapiens).network_type
: Type of STRING network to use ("full" or "physical"). Defaults to "full".score_threshold
: Minimum score threshold for STRING interactions. Defaults to 400.threshold_percentage
: Percentage threshold for ranking. Defaults to 20%.export
: Logical indicating whether to export the results. Defaults to FALSE.file_directory
: Directory for saving the output files. Defaults to NULL.export_format
: Format for export ("csv", "tsv", "excel"). Defaults to "csv".Due to API rate limits and the potentially long duration of some tests, certain tests are skipped on CRAN using the skip_on_cran() function from the testthat package. These tests are designed to run in local environments and CI/CD pipelines where the environment variable NOT_CRAN is set to "true".
To run all tests locally, set the environment variable as follows:
NOT_CRAN=true R CMD check
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