dcGOR: Analysis of Ontologies and Protein Domain Annotations
Version 1.0.7

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.

Getting started

Package details

AuthorHai Fang and Julian Gough
Bioconductor views Bioinformatics
Date of publication2016-04-25 11:13:02
MaintainerHai Fang <hfang@well.ox.ac.uk>
LicenseGPL-2
Version1.0.7
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
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("dcGOR", repos="http://R-Forge.R-project.org")

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dcGOR documentation built on May 31, 2017, 4:44 a.m.