Cargando…
Assessing phylogenetic motif models for predicting transcription factor binding sites
Motivation: A variety of algorithms have been developed to predict transcription factor binding sites (TFBSs) within the genome by exploiting the evolutionary information implicit in multiple alignments of the genomes of related species. One such approach uses an extension of the standard position-s...
Autores principales: | Hawkins, John, Grant, Charles, Noble, William Stafford, Bailey, Timothy L. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687955/ https://www.ncbi.nlm.nih.gov/pubmed/19478008 http://dx.doi.org/10.1093/bioinformatics/btp201 |
Ejemplares similares
-
Efficient exact motif discovery
por: Marschall, Tobias, et al.
Publicado: (2009) -
DISCOVER: a feature-based discriminative method for motif search in complex genomes
por: Fu, Wenjie, et al.
Publicado: (2009) -
A unified statistical model to support local sequence order independent similarity searching for ligand-binding sites and its application to genome-based drug discovery
por: Xie, Lei, et al.
Publicado: (2009) -
Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation
por: Wallach, Izhar, et al.
Publicado: (2009) -
Genotype–phenotype associations: substitution models to detect evolutionary associations between phenotypic variables and genotypic evolutionary rate
por: O'Connor, Timothy D., et al.
Publicado: (2009)