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Assessing the effects of symmetry on motif discovery and modeling
Lala M. Motlhabi, Gary D. Stormo
Department of Genetics
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Institute of Clinical and Translational Sciences (ICTS)
Edison Family Center for Genome Sciences & Systems Biology
DBBS - Computational and Systems Biology
DBBS - Human and Statistical Genetics
DBBS - Molecular Genetics and Genomics
DBBS - Biochemistry, Biophysics, and Structural Biology
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
Overview
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Dive into the research topics of 'Assessing the effects of symmetry on motif discovery and modeling'. Together they form a unique fingerprint.
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Keyphrases
Symmetric Model
100%
Motif Discovery
100%
Binding Site
50%
DNA Binding Sites
50%
Motif Finding
50%
Asymmetric Model
50%
Transcription Factor
25%
Statistical Significance
25%
Binding Specificity
25%
Prediction Error
25%
Gene Regulatory Network
25%
Low Sensitivity
25%
Simulation Study
25%
Motif Discovery Algorithm
25%
False Prediction
25%
Experimental Dataset
25%
Transcription Factor Specificity
25%
Asymmetric Binding
25%
Correct Model
25%
Motif Models
25%
Binding Site Models
25%
Inaccurate Models
25%
Biochemistry, Genetics and Molecular Biology
Binding Site
100%
Transcription Factors
66%
DNA Binding Site
66%
Gene Regulatory Network
33%