Cargando…
Predicting functional transcription factor binding through alignment-free and affinity-based analysis of orthologous promoter sequences
Motivation: The identification of transcription factor (TF) binding sites and the regulatory circuitry that they define is currently an area of intense research. Data from whole-genome chromatin immunoprecipitation (ChIP–chip), whole-genome expression microarrays, and sequencing of multiple closely...
Autores principales: | Ward, Lucas D., Bussemaker, Harmen J. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2718632/ https://www.ncbi.nlm.nih.gov/pubmed/18586710 http://dx.doi.org/10.1093/bioinformatics/btn154 |
Ejemplares similares
-
A max-margin model for efficient simultaneous alignment and folding of RNA sequences
por: Do, Chuong B., et al.
Publicado: (2008) -
Alignment and classification of time series gene expression in clinical studies
por: Lin, Tien-ho, et al.
Publicado: (2008) -
Combinatorial influence of environmental parameters on transcription factor activity
por: Knijnenburg, T.A., et al.
Publicado: (2008) -
Predicting protein thermostability changes from sequence upon multiple mutations
por: Montanucci, Ludovica, et al.
Publicado: (2008) -
Multi-spectra peptide sequencing and its applications to multistage mass spectrometry
por: Bandeira, Nuno, et al.
Publicado: (2008)