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Overview
Installation
Support
Source Code
License

OOMPA

Object-Oriented Massive data Profiling Analysis

OOMPA is a suite of R packages for the analysis of gene expression (RNA), proteomics profiling, and other high throughput molecular biology data. The oriingla acronym stood for "Object Oriented Microarray and Proteomics Analysis". But, like the CAMDA competition run by Duke University, we eventually decided to replace the "Microarrays" in the name with "Massice data" as the technology-of-the-day changes.

OOMPA uses S4 classes to construct object-oriented tools with a consistent user interface. All higher level analysis tools in OOMPA are compatible with the eSet classes defined in BioConductor. The lower level processing tools offer an alternative to parts of BioConductor, but can also be used to enhance existing BioConductor packages.

OOMPA has been a project of the Coombes Lab since at least 2010

Project Overview

The following diagram shows the dependency relationships between the OOMPA packages. Black arrows indicate dependendencies reflected by imports. Blue arrows come from Depends entries in the package DESCRIPTION file. Red arrows indicate a weaker relationship, reflected by a Suggests entry in the packager DESCRFIPTION file.

Dependency Graph

An R-Forge "project" (which is where these started, though they have recently moved to GitLab) can contain multiple packages. We have taken advantage of this structure to organize different packages into different projects. The colors used in the figure indicate the R-Forge or git project; more details about this organization can be found in the Source Code section below. Packages in orange exist in their own "standalone" project. Packages in gray do not live anywhere in the cloud, residing instead in the precarious depths of my personal computer. Packages outlined in magents have not yet been submitted to CRAN, but can be accessed from the appropriate git project.

Installation

Most OOMPA packages have already been submitted to and accepted by CRAN. So, the simplest way to install these packages is to use the standard R facilities (i.e., install.packages) to install R packages along with their dependencies.

Some packages are still only present on GitLab. To install these packages, you can execute the following command for the appropriate "PKGNAME" in "PROJ":

library(remotes)
install.packages("krcoombes/PROJ", "pkg/PKGNAME")

As a specific exmaple, here is the command to install the oompaBase package from the oompa project, ypu would type:
install.packages("krcoombes/oompa", "pkg/oompaBase")

(The file structure is left over from the default setup on R-Forge.) More detailed information is provided below to indicate which packages are already present in CRAN and which packages can still only be found on GitLab. A handful of packages listed here still exist only on a local hard drive, having not yet reached a development state where they are ready to be moved onto R-Forge. Their status will be updated here as appropriate.

Support

Source Code

The source packages for OOMPA are available from R-Forge. To simplify package maintenance, the packages are separated into multiple projects. The projects are color-coded in the figure above and in the table below.

Project Name Project URL Project Details
OOMPA https://gitlab.com/krcoombes/oompa OOMPA Packages
Class Prediction https://gitlab.com/krcoombes/classpred Classpred Packages
Thresher https://gitlab.com/krcoombes/thresherpkg Thresher Packages
Cytangle https://gitlab.com/krcoombes/cytanglepkg Cytangle Packages
CloneFinder https://gitlab.com/krcoombes/clonefinderpkg CloneFinder Packages
NameNeedle https://gitlab.com/krcoombes/nameneedle NameNeedle
SIBER https://gitlab.com/krcoombes/siber SIBER
integIRTy https://gitlab.com/krcoombes/integirty integIRTy
UMPIRE https://gitlab.com/krcoombes/umpire Umpire
NewmanOmics https://gitlab.com/krcoombes/newmanomics NewmanOmics
NewmanOmics https://gitlab.com/krcoombes/deepcnv DeepCNV
drexplorer Available from GitHub
ArrayCube Under Development
FirstSign Under Development
CRAAC Under Development
AccuPloidy Under Development

License

Licenses for individual packages vary, so you should see their DESCRIPTION files for details. Most current packages are released under Version 2.0 of the Apache License. Older versions of many other packages, are released under Version 2.0 of the Perl Artistic License.



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