Author: Boj, Eva <evaboj@ub.edu>, Caballe, Adria <adria.caballe@irb.barcelona.org>, Delicado, Pedro <pedro.delicado@upc.edu> and Fortiana, Josep <fortiana@ub.edu>.
Maintainer: Eva Boj del Val <evaboj@ub.edu>

Title: A Fast, Easy-to-Use Database Interface
Authors@R: person("Andrew", "Kane", email = "andrew@chartkick.com", role = c("aut", "cre"))
Description: Provides select, insert, update, upsert, and delete database operations. Supports 'PostgreSQL', 'MySQL', 'SQLite', and more, and plays nicely with the 'DBI' package.
Suggests: testthat (>= 1.0.2), urltools (>= 1.7.0), RSQLite (>= 1.1-2),
RMariaDB, RMySQL, RPostgres, RPostgreSQL, dplyr (>= 0.5.0)

RMariaDB, RMySQL, RPostgres, RPostgreSQL, hms, jsonlite, blob

RMariaDB, RMySQL, RPostgres, RPostgreSQL, hms, jsonlite, blob,

Suggests: testthat (>= 1.0.2), urltools (>= 1.7.0), RSQLite (>= 2.1.2),
RMariaDB, RMySQL (>= 0.10.20), RPostgres, RPostgreSQL, hms,

Title: Inferring Disease Networks via Differential Network Inference
Description: Performs differential network analysis to infer disease specific gene networks.
Depends: R (>= 3.1.3), c3net, igraph, RedeR
Packaged: 2015-12-25 10:31:04 UTC; onurmendi

Packaged: 2015-10-01 13:05:47 UTC; onurmendi

Title: Inferring Condition-Specific Networks via Differential Network
Depends: R (>= 3.3.3), c3net, igraph, RedeR

Title: an open-source R package for analysing domain-centric ontologies
Depends: R (>= 3.1.0), Matrix, igraph, dnet
Description: The 'dcGOR' package is intended to provide the wider bioinformatics community with the use of the dcGO database. The dcGO (http://supfam.org/SUPERFAMILY/dcGO) is a comprehensive domain-centric database for annotating protein domains using a variety of ontologies on functions, phenotypes, diseases and more. With the package, users are expected to easily analyse and visualise domain-centric ontologies and annotations. Supported analyses include but are not limited to: easy access to a wide range of ontologies and their domain-centric annotations; enrichment analysis and visual outputs; semantic similarity between annotated domains from ontology term semantic similarity; random walk with restart upon domain-domain (semantic) networks; and high-performance parallel computing.