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Learning protein-DNA interaction landscapes by integrating experimental data through computational models.
Zhong, Jianling; Wasson, Todd; Hartemink, Alexander J.
Affiliation
  • Zhong J; Program in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708, Knowledge Systems and Informatics, Lawrence Livermore National Laboratory, Livermore, CA 94550 and Department of Computer Science, Duke University, Durham, NC 27708, USA.
  • Wasson T; Program in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708, Knowledge Systems and Informatics, Lawrence Livermore National Laboratory, Livermore, CA 94550 and Department of Computer Science, Duke University, Durham, NC 27708, USA.
  • Hartemink AJ; Program in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708, Knowledge Systems and Informatics, Lawrence Livermore National Laboratory, Livermore, CA 94550 and Department of Computer Science, Duke University, Durham, NC 27708, USA Program in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708, Knowledge Systems and Informatics, Lawrence Livermore National Laboratory, Livermore, CA 94550 and Department of Computer Science, Duke University, Durham
Bioinformatics ; 30(20): 2868-74, 2014 Oct 15.
Article in En | MEDLINE | ID: mdl-24974204
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Full text: 1 Database: MEDLINE Main subject: DNA / Computational Biology / DNA-Binding Proteins / Models, Biological Type of study: Prognostic_studies Language: En Journal: Bioinformatics Year: 2014 Type: Article Affiliation country: United States
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Full text: 1 Database: MEDLINE Main subject: DNA / Computational Biology / DNA-Binding Proteins / Models, Biological Type of study: Prognostic_studies Language: En Journal: Bioinformatics Year: 2014 Type: Article Affiliation country: United States