Cargando…
BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factors
BACKGROUND: We have incorporated Bayesian model regularization with biophysical modeling of protein-DNA interactions, and of genome-wide nucleosome positioning to study protein-DNA interactions, using a high-throughput dataset. The newly developed method (BayesPI) includes the estimation of a transc...
Autores principales: | Wang, Junbai, Morigen |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2771022/ https://www.ncbi.nlm.nih.gov/pubmed/19857274 http://dx.doi.org/10.1186/1471-2105-10-345 |
Ejemplares similares
-
BayesPI-BAR: a new biophysical model for characterization of regulatory sequence variations
por: Wang, Junbai, et al.
Publicado: (2015) -
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based high-throughput data
por: Wang, Junbai
Publicado: (2010) -
Quality versus accuracy: result of a reanalysis of protein-binding microarrays from the DREAM5 challenge by using BayesPI2 including dinucleotide interdependence
por: Wang, Junbai
Publicado: (2014) -
BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts
por: Batmanov, Kirill, et al.
Publicado: (2019) -
Computational study of associations between histone modification and protein-DNA binding in yeast genome by integrating diverse information
por: Wang, Junbai
Publicado: (2011)