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Publications by Nak-Kyeong Kim
Finding Sequence Motifs With Bayesian Models Incorporating Positional Information: An Application to Transcription Factor Binding Sites
BMC Bioinformatics
Biochemistry
Applied Mathematics
Computer Science Applications
Structural Biology
Molecular Biology
Protein Multiple Alignment Incorporating Primary and Secondary Structure Information
Journal of Computational Biology
Genetics
Molecular Biology
Computational Theory
Simulation
Computational Mathematics
Mathematics
Modeling
Related publications
Bayesian Clustering of Transcription Factor Binding Motifs
Journal of the American Statistical Association
Uncertainty
Statistics
Probability
Effect of Positional Dependence and Alignment Strategy on Modeling Transcription Factor Binding Sites
BMC Research Notes
Biochemistry
Medicine
Genetics
Molecular Biology
An Information Transmission Model for Transcription Factor Binding at Regulatory DNA Sites
Theoretical Biology and Medical Modelling
Medicine
Modeling
Simulation
Health Informatics
Analysis of Genomic Sequence Motifs for Deciphering Transcription Factor Binding and Transcriptional Regulation in Eukaryotic Cells
Frontiers in Genetics
Genetics
Molecular Medicine
Mapping DNA Sequence to Transcription Factor Binding Energy in Vivo
PLoS Computational Biology
Molecular Neuroscience
Evolution
Ecology
Genetics
Behavior
Molecular Biology
Systematics
Simulation
Cellular
Computational Theory
Mathematics
Modeling
ChEC-seq Kinetics Discriminates Transcription Factor Binding Sites by DNA Sequence and Shape in Vivo
Nature Communications
Astronomy
Genetics
Molecular Biology
Biochemistry
Chemistry
Physics
Identification of Transcription Factor Binding Sites Using ATAC-seq
Genome Biology
MARZ: An Algorithm to Combinatorially Analyze Gapped N-Mer Models of Transcription Factor Binding
BMC Bioinformatics
Biochemistry
Applied Mathematics
Computer Science Applications
Structural Biology
Molecular Biology
Phylogenetic Footprinting of Transcription Factor Binding Sites in Proteobacterial Genomes
Nucleic Acids Research
Genetics
