Searching for authors named "Golan Yona" – sorted by Relevance.
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Methods for Global Organization of the Protein Sequence Space
- "Doctor of Philosophy" Golan Yona Submitted to the Senate of the Hebrew University in the year 1
- Cited by 6 (3 self) – Add To MetaCart
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Enzyme function prediction with interpretable models In Computational Systems Biology, Humana Press. (R. Samudrala, J. McDermott, R. Bumgarner, Editors)
- Press. (R. Samudrala, J. McDermott, R. Bumgarner, Editors) Umar Syed 1 and Golan Yona 2∗ 1 Department
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BMC Bioinformatics Database BIOZON: a system for unification, management and analysis of
- of heterogeneous biological data Aaron Birkland and Golan Yona* Address: Department of Computer Science, Cornell
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BMC Bioinformatics Methodology article Automation of gene assignments to metabolic pathways using high-throughput expression data
- high-throughput expression data Liviu Popescu and Golan Yona* Address: Department of Computer Science
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Biozon: a hub of heterogeneous biological data
- BIOZON: a hub of heterogeneous biological data Aaron Birkland and Golan Yona* Cornell University
- Cited by 3 (0 self) – Add To MetaCart
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Towards a Complete Map of the Protein Space Based on a Unified Sequence and Structure Analysis of All Known Proteins
- known proteins Golan Yona and Michael Levitt Department of Structural Biology, Fairchild Bldg. D
- Cited by 10 (4 self) – Add To MetaCart
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Variations on Probabilistic Suffix Trees - a New Tool for Modeling and Prediction of Protein Families
- Gill Bejerano 1 and Golan Yona 2 1 Institute of Computer Science, Hebrew University, Jerusalem
- Cited by 2 (0 self) – Add To MetaCart
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Methodologies for Target Selection in Structural Genomics
- selection in structural genomics Abstract Michal Linial a, *, Golan Yona b a Department of Biological
- Cited by 7 (5 self) – Add To MetaCart
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Modeling Protein Families Using Probabilistic Suffix Trees
- Modeling protein families using probabilistic sux trees Gill Bejerano and Golan Yona Institute
- Cited by 29 (5 self) – Add To MetaCart
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The URMS-RMS hybrid algorithm for fast and sensitive local protein structure alignment
- The URMS-RMS hybrid algorithm for fast and sensitive local protein structure alignment Golan Yona
- Cited by 5 (3 self) – Add To MetaCart

