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- Nak-Kyeong Kim
- Assistant Professor
- Department of Mathematics & Statistics
- 2204e Engr and Comp Sci Bldg
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Norfolk,
VA
23529
- 757-683-3911
- nxkim@odu.edu
- Web Page
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Education
- Purdue University,
2005
- Major: Statistics
- Degree: Ph. D.
- Purdue University,
2001
- Major: Statistics
- Degree: M.S.
- Seoul National University,
1999
- Major: Computer Science and Statistics
- Degree: B.S.
- Seoul National University,
1999
- Major: Computer Science and Statistics
- Degree: B.S.
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Research Interests
- Statistics in Bioinformatics, Bayesian modeling and Markov chain Monte Carlo methods, Transcription factor binding sites identification
in DNA sequence, Protein motif identification, ChIP-chip and ChIP-Seq data analysis
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Articles
- Kim, N., Tharakaraman, K., Marino-Ramirez, L., and Spouge, J. L. (2008). Finding sequence motifs with Bayesian models incorporating positional information: an application to predicting transcription
factor binding sites. BMC Bioinformatics, 9 (262),
- Kim, N., Tharakaraman, K., and Spouge, J. L. (2006). Adding sequence context to a Markov background model improves the identification of regulatory elements. Bioinformatics, 22 (23), (pp. 2870-2875).
- Kim, N., and Xie, J. (2006). Protein Multiple Alignment Incorporating Primary and Secondary Structure. Journal of Computational Biology, 13 (9), (pp. 1615-1629).
- Xie, J., and Kim, N. (2005). Bayesian Models and Markov Chain Monte Carlo Methods with the Secondary Characteristics. Journal of Computational Biology, 12 (7), (pp. 952-970).
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Presentations
- Finding sequence motifs with Bayesian models incorporating positional information
- Conference Name: American Statistical Association
- Sponsoring Organization: American Statistical Association
- Date: August, 2009
- Authors/Presenters:
Kim, N. Presenter & Author
- Finding sequence motifs with Bayesian models incorporating positional information
- Conference Name: New Researchers in Statistics and Probability
- Sponsoring Organization: New Researchers in Statistics and Probability
- Location: Baltimore
- Date: July, 2009
- Authors/Presenters:
Kim, N. Presenter & Author
- Sequence motif identification incorporating extra information
- Conference Name: Virginia Academy of Sciences Statistical section
- Sponsoring Organization: Virginia Academy of Sciences Statistical section
- Location: Richmond, Virginia
- Date: May, 2009
- Authors/Presenters:
Kim, N. Presenter & Author
- Improving biological sequence alignments
- Conference Name: Old Dominion University
- Sponsoring Organization: Old Dominion University
- Location: Norfolk, VA
- Date: January, 2009
- Authors/Presenters:
Kim, N. Presenter & Author
- Protein Multiple Alignment Using Primary and Secondary Structure Information
- Conference Name:
- Location: Salt Lake City, Utah
- Date: July, 2007
- Authors/Presenters:
Kim, N. Presenter & Author
- Finding motifs with Bayesian models combining sequence and positional information
- Conference Name: NCBL, NLM, NIH
- Sponsoring Organization: NCBL, NLM, NIH
- Location: Bethesda, Maryland
- Date: May, 2007
- Authors/Presenters:
Kim, N. Presenter & Author
- Improving Motif Identification in Biological Sequences
- Conference Name: University of Maryland
- Sponsoring Organization: University of Maryland
- Location: Baltimore County, Maryland
- Date: March, 2007
- Authors/Presenters:
Kim, N. Presenter & Author
- A Statistical Method of Identifying Protein Motifs by Combining Amino Acid Sequence and Secondary Structures
- Conference Name:
- Location: Detroit, Michigan
- Date: June, 2005
- Authors/Presenters:
Kim, N. Presenter & Author
- Bayesian Models and Markov Chain Monte Carlo Methods for Protein Motifs with the Secondary Characteristics
- Conference Name:
- Date: May, 2004
- Authors/Presenters:
Kim, N. Presenter & Author
- Postdoctoral Visiting Fellowship, NIH
- Scholarships, Seoul National University
- ISMB travel followship, International Society for Computational Biology (ISBC)
- , Purdue Research Foundation
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Contracts, Grants and Sponsored Research