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Updated: Jan 20, 2026

Massively Parallel Reporter Assays in Cultured Mammalian Cells
Published on: August 17, 2014
MPRAnalyze: statistical framework for massively parallel reporter assays
Tal Ashuach1,2, David S Fischer3,4, Anat Kreimer1,5,6
1Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, California, USA.
Abstract:
Massively parallel reporter assays (MPRAs) can measure the regulatory function of thousands of DNA sequences in a single experiment. Despite growing popularity, MPRA studies are limited by a lack of a unified framework for analyzing the resulting data. Here we present MPRAnalyze: a statistical framework for analyzing MPRA count data. Our model leverages the unique structure of MPRA data to quantify the function of regulatory sequences, compare sequences' activity across different conditions, and provide necessary flexibility in an evolving field. We demonstrate the accuracy and applicability of MPRAnalyze on simulated and published data and compare it with existing methods.
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Probability in Statistics
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...

