Cargando…
Linear models enable powerful differential activity analysis in massively parallel reporter assays
BACKGROUND: Massively parallel reporter assays (MPRAs) have emerged as a popular means for understanding noncoding variation in a variety of conditions. While a large number of experiments have been described in the literature, analysis typically uses ad-hoc methods. There has been little attention...
Autores principales: | Myint, Leslie, Avramopoulos, Dimitrios G., Goff, Loyal A., Hansen, Kasper D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417258/ https://www.ncbi.nlm.nih.gov/pubmed/30866806 http://dx.doi.org/10.1186/s12864-019-5556-x |
Ejemplares similares
-
Statistical method to compare massive parallel sequencing pipelines
por: Elsensohn, MH., et al.
Publicado: (2017) -
Meta‐analysis of massively parallel reporter assays enables prediction of regulatory function across cell types
por: Kreimer, Anat, et al.
Publicado: (2019) -
Massively Parallel Reporter Assays in Cultured Mammalian Cells
por: Melnikov, Alexandre, et al.
Publicado: (2014) -
Investigating enhancer evolution with massively parallel reporter assays
por: Kwon, Soo Bin, et al.
Publicado: (2018) -
MPRAnalyze: statistical framework for massively parallel reporter assays
por: Ashuach, Tal, et al.
Publicado: (2019)