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DynOmics

The package provides functions to identify associations within one or between two time course 'omics' data and visualise the associations. Use : associateData to estimate the delays and identify associations of data sets containing time course 'omics' experiments; plot.associations: to visualise associated profiles.

How to run dynOmics

In order to run dynOmics you require the latest version of R (>=3.2) and devtools. You can download the latest R version form here and follow the instructions to install R. Once installed type the following commands in your R console:

install.packages('devtools')
library(devtools)
install_bitbucket('Jasmin87/dynOmics')
library(dynOmics)

To see how you can use dynOmics and run examples type in your console:

?dynOmics
?associateData

User manual

The user manual is provided in both pdf and Rmd formats, see the source codes here

Whom to contact?

The examples will hopefully answer most questions about dynOmics. However, additional questions can be directed to jasmin.straube[at]qimrberghofer.edu.au. We appreciate bug reports in the software or R functions and welcome any suggestions or comments for improvements.

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Version

Install

install.packages('dynOmics')

Monthly Downloads

28

Version

1.2

License

GPL (>= 2) | file LICENSE

Maintainer

Last Published

June 28th, 2018

Functions in dynOmics (1.2)

associateData

Identify associations of trajectories within a data set or across two data sets
plot.associations

Plot of associations objects
Metabolites

Metabolite and Transcript Simulation Data
summary.associations

Summary of a associations Object
Transcripts

Transcript Simulation Data
dynOmics-package

Fast Fourier transform to estimate delays in expression initiation to identify associations between time course 'omics' data.