dcGOR: Analysis of Ontologies and Protein Domain Annotations

There lacks a package for analysing domain-centric ontologies and annotations, particularly those in the dcGO database. The dcGO (http://supfam.org/SUPERFAMILY/dcGO) is a comprehensive domain-centric database for annotating protein domains using a panel of ontologies including Gene Ontology. With the package, users are expected to 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; able to build customised ontologies and annotations; domain-based enrichment analysis and visualisation; construction of a domain (semantic similarity) network according to ontology annotations; significance analysis for estimating a contact (statistical significance) network via Random Walk with Restart; and high-performance parallel computing. The new functionalities are: 1) to create domain-centric ontologies; 2) to predict ontology terms for input protein sequences (precisely domain content in the form of architectures) plus to assess the predictions; 3) to reconstruct ancestral discrete characters using maximum likelihood/parsimony.

Version: 1.0.6
Depends: R (≥ 3.1.0), Matrix, igraph, dnet
Imports: methods
Suggests: foreach, doMC, ape
Published: 2015-07-27
Author: Hai Fang and Julian Gough
Maintainer: Hai Fang <hfang at well.ox.ac.uk>
License: GPL-2
URL: http://supfam.org/dcGOR, http://cran.r-project.org/package=dcGOR, http://dcgor.r-forge.r-project.org, https://github.com/hfang-bristol/dcGOR
NeedsCompilation: no
Citation: dcGOR citation info
Materials: NEWS
CRAN checks: dcGOR results

Documentation:

Reference manual: dcGOR.pdf

Downloads:

Package source: dcGOR_1.0.6.tar.gz
Windows binaries: r-devel: dcGOR_1.0.6.zip, r-release: dcGOR_1.0.6.zip, r-oldrel: dcGOR_1.0.6.zip
macOS binaries: r-release (arm64): dcGOR_1.0.6.tgz, r-oldrel (arm64): not available, r-release (x86_64): dcGOR_1.0.6.tgz, r-oldrel (x86_64): dcGOR_1.0.6.tgz
Old sources: dcGOR archive

Linking:

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