Cargando…
Structure-based prediction of transcription factor binding specificity using an integrative energy function
Transcription factors (TFs) regulate gene expression through binding to specific target DNA sites. Accurate annotation of transcription factor binding sites (TFBSs) at genome scale represents an essential step toward our understanding of gene regulation networks. In this article, we present a struct...
Autores principales: | Farrel, Alvin, Murphy, Jonathan, Guo, Jun-tao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908348/ https://www.ncbi.nlm.nih.gov/pubmed/27307632 http://dx.doi.org/10.1093/bioinformatics/btw264 |
Ejemplares similares
-
RCK: accurate and efficient inference of sequence- and structure-based protein–RNA binding models from RNAcompete data
por: Orenstein, Yaron, et al.
Publicado: (2016) -
Convolutional neural network architectures for predicting DNA–protein binding
por: Zeng, Haoyang, et al.
Publicado: (2016) -
Prediction of ribosome footprint profile shapes from transcript sequences
por: Liu, Tzu-Yu, et al.
Publicado: (2016) -
Influence maximization in time bounded network identifies transcription factors regulating perturbed pathways
por: Jo, Kyuri, et al.
Publicado: (2016) -
A convex optimization approach for identification of human tissue-specific interactomes
por: Mohammadi, Shahin, et al.
Publicado: (2016)