George Karypis | University of Minnesota (original) (raw)

Papers by George Karypis

Research paper thumbnail of An analysis of information content present in protein-DNA interactions

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Research paper thumbnail of An analysis of information content present in protein-DNA interactions

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Research paper thumbnail of TOPTMH: Topology Predictor for Transmembrane Helices

Motivation: Alpha-helical transmembrane proteins mediate many key biological pro- cesses and repr... more Motivation: Alpha-helical transmembrane proteins mediate many key biological pro- cesses and represent 20-30% of all genes in many organisms. Due to the diculties in experimentally determining their high-resolution 3D struc- ture, computational methods that predict their topology (transmembrane helical segments and their orientation) are essential in advancing the un- derstanding of membrane proteins' structures and functions. 2 Methods: We developed

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Research paper thumbnail of TOPTMH: TOPOLOGY PREDICTOR FOR TRANSMEMBRANE α-HELICES

Journal of Bioinformatics and Computational Biology, 2010

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Research paper thumbnail of Load balancing of dynamic and adaptive mesh-based computations

Proceedings Seventeenth IEEE Symposium on Reliable Distributed Systems (Cat. No.98CB36281), 1998

ABSTRACT

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Research paper thumbnail of Graph partitioning for dynamic, adaptive and multi-phase scientific simulations

Proceedings 42nd IEEE Symposium on Foundations of Computer Science, 2001

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Research paper thumbnail of Dynamic Repartitioning of Adaptively Refined Meshes

Proceedings of the IEEE/ACM SC98 Conference, 1998

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Research paper thumbnail of Multi-capacity bin packing algorithms with applications to job scheduling under multiple constraints

Proceedings of the 1999 International Conference on Parallel Processing, 1999

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Research paper thumbnail of Load balancing across near-homogeneous multi-resource servers

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556), 2000

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Research paper thumbnail of The Genome Sequence of the Chinese Hamster:Ushering In An Era of CHO Genome Engineering

CHO cells, the workhorses of the biopharmaceutical industry, are derived from the Chinese hamster... more CHO cells, the workhorses of the biopharmaceutical industry, are derived from the Chinese hamster, arguably making it the most economically important industrial organism. The synergistic application of high-throughput sequencing technologies, along with the existing CHO EST collection as backbone, enabled the efficient assembly of the Chinese hamster genome. The current assembly (~2.5Gb), constituting over two billion sequence reads, includes more than 25,000 annotated genes across a range of functional classes. This has allowed a global comparative analysis with the mouse, rat and human genomes. Furthermore, the investigation of regulatory features including promoters, CpG Islands and microRNAs has opened up new avenues for manipulating individual gene expression as well as genome level interventions. In addition, this work aims to study the genetic variation underlying economically important productivity traits in CHO cells, by a comparative genomics approach, with diploid hamster...

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Research paper thumbnail of Ligand-Binding Residue Prediction

Methods and Algorithms, 2010

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Research paper thumbnail of Discriminating Subsequence Discovery for Sequence Clustering

Proceedings of the 2007 SIAM International Conference on Data Mining, 2007

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Research paper thumbnail of Search eLibrary

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Research paper thumbnail of ICDM 2013 Program Co-Chairs

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Research paper thumbnail of Program Co-Chairs

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Research paper thumbnail of 8.7 Parallel Algorithms in Data Mining

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Research paper thumbnail of TR O0-O14

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Research paper thumbnail of TR O0-O57

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Research paper thumbnail of TR O1-O20

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Research paper thumbnail of TR O2-O16

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Research paper thumbnail of An analysis of information content present in protein-DNA interactions

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Research paper thumbnail of An analysis of information content present in protein-DNA interactions

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Research paper thumbnail of TOPTMH: Topology Predictor for Transmembrane Helices

Motivation: Alpha-helical transmembrane proteins mediate many key biological pro- cesses and repr... more Motivation: Alpha-helical transmembrane proteins mediate many key biological pro- cesses and represent 20-30% of all genes in many organisms. Due to the diculties in experimentally determining their high-resolution 3D struc- ture, computational methods that predict their topology (transmembrane helical segments and their orientation) are essential in advancing the un- derstanding of membrane proteins' structures and functions. 2 Methods: We developed

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Research paper thumbnail of TOPTMH: TOPOLOGY PREDICTOR FOR TRANSMEMBRANE α-HELICES

Journal of Bioinformatics and Computational Biology, 2010

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Research paper thumbnail of Load balancing of dynamic and adaptive mesh-based computations

Proceedings Seventeenth IEEE Symposium on Reliable Distributed Systems (Cat. No.98CB36281), 1998

ABSTRACT

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Graph partitioning for dynamic, adaptive and multi-phase scientific simulations

Proceedings 42nd IEEE Symposium on Foundations of Computer Science, 2001

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Dynamic Repartitioning of Adaptively Refined Meshes

Proceedings of the IEEE/ACM SC98 Conference, 1998

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Research paper thumbnail of Multi-capacity bin packing algorithms with applications to job scheduling under multiple constraints

Proceedings of the 1999 International Conference on Parallel Processing, 1999

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Research paper thumbnail of Load balancing across near-homogeneous multi-resource servers

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556), 2000

Bookmarks Related papers MentionsView impact

Research paper thumbnail of The Genome Sequence of the Chinese Hamster:Ushering In An Era of CHO Genome Engineering

CHO cells, the workhorses of the biopharmaceutical industry, are derived from the Chinese hamster... more CHO cells, the workhorses of the biopharmaceutical industry, are derived from the Chinese hamster, arguably making it the most economically important industrial organism. The synergistic application of high-throughput sequencing technologies, along with the existing CHO EST collection as backbone, enabled the efficient assembly of the Chinese hamster genome. The current assembly (~2.5Gb), constituting over two billion sequence reads, includes more than 25,000 annotated genes across a range of functional classes. This has allowed a global comparative analysis with the mouse, rat and human genomes. Furthermore, the investigation of regulatory features including promoters, CpG Islands and microRNAs has opened up new avenues for manipulating individual gene expression as well as genome level interventions. In addition, this work aims to study the genetic variation underlying economically important productivity traits in CHO cells, by a comparative genomics approach, with diploid hamster...

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Research paper thumbnail of Ligand-Binding Residue Prediction

Methods and Algorithms, 2010

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Research paper thumbnail of Discriminating Subsequence Discovery for Sequence Clustering

Proceedings of the 2007 SIAM International Conference on Data Mining, 2007

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Research paper thumbnail of Search eLibrary

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Research paper thumbnail of ICDM 2013 Program Co-Chairs

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Research paper thumbnail of Program Co-Chairs

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Research paper thumbnail of 8.7 Parallel Algorithms in Data Mining

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Research paper thumbnail of TR O0-O14

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Research paper thumbnail of TR O0-O57

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Research paper thumbnail of TR O1-O20

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Research paper thumbnail of TR O2-O16

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