# SEMgraph library
# Copyright (C) 2019-2021 Fernando Palluzzi; Mario Grassi
# e-mail: <fernando.palluzzi@gmail.com>
# University of Pavia, Department of Brain and Behavioral Sciences
# Via Bassi 21, 27100 Pavia, Italy
# SEMgraph is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# SEMgraph is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
# -------------------------------------------------------------------- #
#' @title Reactome interactome
#'
#' @description Interactome generated by merging Reactome pathways
#' extracted using the \code{graphite} R package (update: April, 2020).
#' @name reactome
#' @usage reactome
#' @docType data
#' @format
#' "reactome" is an igraph network object of 9762 nodes and 416128 edges
#' corresponding to the union of 1641 Reactome pathways.
#' @source \url{https://reactome.org}
#' @references
#'
#' Jassal B, Matthews L, Viteri G, Gong C, Lorente P, Fabregat A,
#' Sidiropoulos K, Cook J, Gillespie M, Haw R, Loney F, May B, Milacic M,
#' Rothfels K, Sevilla C, Shamovsky V, Shorser S, Varusai T, Weiser J,
#' Wu G, Stein L, Hermjakob H, D'Eustachio P.
#' The reactome pathway knowledgebase.
#' Nucleic Acids Res. 2020 Jan 8;48(D1):D498-D503. PubMed PMID: 31691815.
#' <doi:10.1093/nar/gkz1031>
#'
#' Martini P, Sales G, Massa MS, Chiogna M, Romualdi C. Along signal paths:
#' anempirical gene set approach exploiting pathway topology.
#' Nucleic Acids Res. 41(1):e19.
#' <https://doi.org/10.1093/nar/gks866>
#'
#' @examples
#'
#' summary(reactome)
#'
#' # Reactome degrees of freedom
#' vcount(reactome)*(vcount(reactome) - 1)/2 - ecount(reactome)
#'
#' # Reactome average shortest path length
#' mean_distance(reactome)
NULL
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