Publications Related to Bioinformatics
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Improving Homology Models for Protein-Ligand Binding Sites.
Chris Kauffman, Huzefa Rangwala, and George Karypis.  LSS Computational systems Bioinformatics Conference (CSB), 2008.
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Improved prediction of protein model quality.
Kevin W. DeRonne and George Karypis.  CSE TR# 08-002, 2008.
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An Analysis of Information Content Present in Protein-DNA Interactions.
Chris Kauffman and George Karypis.  Pacific Symposium on Biocomputing, 2008.
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fRMSDAlign: Protein Sequence Alignment Using Predicted Local Structure Information.
Huzefa Rangwala and George Karypis.  6th Asia Pacific Bioinformatics Conference, 2008.
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Transcriptome dynamics-based operon prediction and verification in Streptomyces coelicolor.
Salim Charaniya, Sarika Mehra, Wei Lian, Karthik P. Jayapal, George Karypis, Wei-Shou Hu.  Nucleic Acids Research, 35(21):7222-36., 2007.
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A Generalized Framework for Protein Sequence Annotation.
Huzefa Rangwala, Christopher Kauffman, and George Karypis.  UMN TR# 07-023, 2007.
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Methods for Effective Virtual Screening and Scaffold-Hopping in Chemical Compounds.
Nikil Wale and George Karypis.  Computational Systems Biology (CSB), pp. 403-416, 2007.
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fRMSDPred: Predicting local rmsd between structural fragments using sequence information.
Huzefa Rangwala and George Karypis.  Computational Systems Biology (CSB), pp. 311-322, 2007.
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Effective Optimization Algorithms for Fragment-Assembly Based Protein Structure Prediction.
Kevin DeRonne and George Karypis.  Journal of Bioinformatics and Computational Biology (JBCB), 2007.
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Building Multiclass Classifiers for Remote Homology Detection and Fold Recognition.
Huzefa Rangwala and George Karypis.  BMC Bioinformatics, Jan 15;23(2):e17-23., 2006.
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Effective Optimization Algorithms for Fragment-assembly based Protein Structure Prediction.
Kevin W. DeRonne and George Karypis.  Computational Systems Bioinformatics Conference (CSB), 2006.
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Acyclic Subgraph-based Descriptor Spaces for Chemical Compound Retrieval and Classification.
Nikil Wale and George Karypis.  IEEE International Conference on Data Mining (ICDM), 2006.
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