MPRAnalyze: statistical framework for massively parallel reporter assays.
Genome Biol
; 20(1): 183, 2019 09 02.
Article
em En
| MEDLINE
| ID: mdl-31477158
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Bioensaio
/
Software
/
Estatística como Assunto
/
Genes Reporter
/
Sequenciamento de Nucleotídeos em Larga Escala
Limite:
Humans
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article