DESCRIPTION

Package: crosstalkr
Title: Analysis of Graph-Structured Data with a Focus on Protein-Protein Interaction Networks
Version: 1.0.4
Authors@R: 
    person(given = "Davis",
           family = "Weaver",
           role = c("aut", "cre"),
           email = "davis.weaver@case.edu", 
           comment = c(orcid = "0000-0003-3086-497X"))
Description: Provides a general toolkit for drug target identification. We include functionality to reduce large graphs to subgraphs and prioritize nodes. In addition to being optimized for use with generic graphs, we also provides support to analyze protein-protein interactions networks from online repositories. For more details on core method, refer to Weaver et al. (2021) <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008755>.
License: GPL (>= 3)
biocViews:
Imports: 
    rlang,
    magrittr,
    withr,
    readr,
    dplyr,
    stringr,
    tidyr,
    tibble,
    igraph (>= 1.2.0),
    Matrix,
    ensembldb,
    foreach,
    doParallel,
    Rcpp,
    iterators,
    ggplot2,
    STRINGdb
LinkingTo: 
    Rcpp
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Suggests: 
    tidygraph,
    ggraph,
    testthat (>= 2.0.0),
    knitr,
    EnsDb.Hsapiens.v86,
    rmarkdown,
    here
Config/testthat/edition: 2
VignetteBuilder: knitr
Depends: 
    R (>= 2.10)