DPoP: Derivative Profiling omics Package

Identify differential signals from your dynamic omics data

• GUI based application for identifying differentially changing signals from a dynamic omics data set.
• Packaged as an installable Matlab App (.mlappinstall), or as a developable app file (.mlapp).
• Data from another omics type is not a problem. Includes example transcriptomic data and example phosphoproteomic data.
• Data in another organism is no problem. Includes examples from two different organisms.
• Can use experiments with unevenly spaced timepoints/experimental steps.
• Does not require fold change calculations.
• Measures the derivative of the count signal for all analytes, and normalizes by average count, yielding a distribution of omic "rates".
• The zscore of a specific rate in the normal distribution of rates is used to assign significance to the specific signal.
• Includes (but does not require) GO term enrichment analysis to programatically describe the results of your analysis with field/organism specific data. Includes two .gaf files, one for A. nidulans, and one for S. cerevisiae.
• Inputs and outputs are compatible to use this app the with omics clustering app and omics averaging apps we've also developed.
• Please see README file for more notes about using this app.