A General Pairwise Interaction Model Provides an Accurate Description of In Vivo Transcription Factor Binding Sites
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A General Pairwise Interaction Model Provides an Accurate Description of In Vivo Transcription Factor Binding Sites
Authors
Keywords
-
Journal
PLoS One
Volume 9, Issue 6, Pages e99015
Publisher
Public Library of Science (PLoS)
Online
2014-06-14
DOI
10.1371/journal.pone.0099015
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Searching for Collective Behavior in a Large Network of Sensory Neurons
- (2014) Gašper Tkačik et al. PLoS Computational Biology
- DNA-Binding Specificities of Human Transcription Factors
- (2013) Arttu Jolma et al. CELL
- Elements of Coevolution in Biological Sequences
- (2013) Olivier Rivoire PHYSICAL REVIEW LETTERS
- From Principal Component to Direct Coupling Analysis of Coevolution in Proteins: Low-Eigenvalue Modes are Needed for Structure Prediction
- (2013) Simona Cocco et al. PLoS Computational Biology
- The Next Generation of Transcription Factor Binding Site Prediction
- (2013) Anthony Mathelier et al. PLoS Computational Biology
- Improved Models for Transcription Factor Binding Site Identification Using Nonindependent Interactions
- (2012) Yue Zhao et al. GENETICS
- What does our genome encode?
- (2012) J. A. Stamatoyannopoulos GENOME RESEARCH
- Transcription factors: from enhancer binding to developmental control
- (2012) François Spitz et al. NATURE REVIEWS GENETICS
- Statistical mechanics for natural flocks of birds
- (2012) W. Bialek et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- High-dimensional inference with the generalized Hopfield model: Principal component analysis and corrections
- (2011) S. Cocco et al. PHYSICAL REVIEW E
- Direct-coupling analysis of residue coevolution captures native contacts across many protein families
- (2011) F. Morcos et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Genome-wide MyoD Binding in Skeletal Muscle Cells: A Potential for Broad Cellular Reprogramming
- (2010) Yi Cao et al. DEVELOPMENTAL CELL
- Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities
- (2010) Sven Heinz et al. MOLECULAR CELL
- On the detection and refinement of transcription factor binding sites using ChIP-Seq data
- (2010) Ming Hu et al. NUCLEIC ACIDS RESEARCH
- Dinucleotide Weight Matrices for Predicting Transcription Factor Binding Sites: Generalizing the Position Weight Matrix
- (2010) Rahul Siddharthan PLoS One
- Maximum entropy models for antibody diversity
- (2010) T. Mora et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Genome-wide identification of cis-regulatory motifs and modules underlying gene coregulation using statistics and phylogeny
- (2010) H. Rouault et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Combinatorial binding predicts spatio-temporal cis-regulatory activity
- (2009) Robert P. Zinzen et al. NATURE
- JASPAR 2010: the greatly expanded open-access database of transcription factor binding profiles
- (2009) Elodie Portales-Casamar et al. NUCLEIC ACIDS RESEARCH
- Diversity and Complexity in DNA Recognition by Transcription Factors
- (2009) G. Badis et al. SCIENCE
- The TRANSFAC project as an example of framework technology that supports the analysis of genomic regulation
- (2008) E. Wingender BRIEFINGS IN BIOINFORMATICS
- Integration of External Signaling Pathways with the Core Transcriptional Network in Embryonic Stem Cells
- (2008) Xi Chen et al. CELL
- The Statistics of Repeating Patterns of Cortical Activity Can Be Reproduced by a Model Network of Stochastic Binary Neurons
- (2008) A. Roxin et al. JOURNAL OF NEUROSCIENCE
- Identification of direct residue contacts in protein-protein interaction by message passing
- (2008) M. Weigt et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A Feature-Based Approach to Modeling Protein–DNA Interactions
- (2008) Eilon Sharon et al. PLoS Computational Biology
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now