BioConductor

GraphPAC 1.22.1

Identification of Mutational Clusters in Proteins via a Graph Theoretical Approach.

This package can be loaded by Renjin but 1 out 2 tests failed.

Dependencies

TSP 1.1-6 RMallow 1.0 igraph 1.2.2 iPAC 1.24.2

Identifies mutational clusters of amino acids in a protein while utilizing the proteins tertiary structure via a graph theoretical model.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.bioconductor</groupId>
    <artifactId>GraphPAC</artifactId>
    <version>1.22.1-b1</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.bioconductor:GraphPAC')

Test Results

This package was last tested against Renjin 0.9.2687 on Aug 25, 2018.

Source

R

Release History