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Design tools for MPRA experiments.
Ghazi, Andrew R; Chen, Edward S; Henke, David M; Madan, Namrata; Edelstein, Leonard C; Shaw, Chad A.
Afiliação
  • Ghazi AR; Department of Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.
  • Chen ES; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
  • Henke DM; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
  • Madan N; Cardeza Foundation for Hematologic Research and Department of Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
  • Edelstein LC; Cardeza Foundation for Hematologic Research and Department of Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
  • Shaw CA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Bioinformatics ; 34(15): 2682-2683, 2018 08 01.
Article em En | MEDLINE | ID: mdl-30052913
ABSTRACT
Motivation Genetic reporter assays are a convenient, relatively inexpensive method for studying the regulation of gene expression. Massively Parallel Reporter Assays (MPRA) are high-throughput functionalization assays that interrogate the transcriptional activity of many genetic variants at once using a library of synthetic barcoded constructs. Despite growing interest in this area, there are few computational tools to design and execute MPRA studies.

Results:

We designed an online web-tool and R package that allows for interactive MPRA experimental design encompassing both power analysis and design of constructs. Our tool is tuned using data from real MPRA studies. Users can adjust experimental parameters to examine the predicted effect on assay power as well as upload VCFs for automated construct sequence generation. Availability and implementation The MPRA Design Tools web application is available here https//andrewghazi.shinyapps.io/designmpra/, https//github.com/andrewGhazi/designMPRA and https//github.com/andrewGhazi/mpradesigntools. Supplementary information Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Regulação da Expressão Gênica / Técnicas Genéticas / Genes Reporter / Biologia Computacional Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Regulação da Expressão Gênica / Técnicas Genéticas / Genes Reporter / Biologia Computacional Idioma: En Ano de publicação: 2018 Tipo de documento: Article