MPRAnalyze: statistical framework for massively parallel reporter assays.

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ID: 34613
2019
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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.
Reference Key
ashuach2019mpranalyzegenome Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ashuach, Tal;Fischer, David S;Kreimer, Anat;Ahituv, Nadav;Theis, Fabian J;Yosef, Nir;
Journal Genome biology
Year 2019
DOI
10.1186/s13059-019-1787-z
URL
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