A graph-theoretic analysis of the human protein-interaction network using multicore parallel algorithms

Keyphrases

• Parallel Algorithm 100%
• Graph Analysis 100%
• Topological Features 66%
• Protein Network 66%
• Betweenness Centrality 66%
• Systems Biology 66%
• Biological Processes 33%
• Signaling Pathway 33%
• Human Interaction 33%
• Structural Properties 33%
• Eukaryotes 33%
• Yeast Protein 33%
• Disease Mechanisms 33%
• Topological Properties 33%
• Computational Techniques 33%
• Complex Networks 33%
• Human Proteins 33%
• Power Constraint 33%
• Centrality Measures 33%
• Interaction Network 33%
• Biology Study 33%
• High Performance Computing 33%
• Parallel Implementation 33%
• Protein-protein Interaction Network Analysis 33%
• Concurrency 33%
• All-pairs Shortest Paths 33%
• Niagara 33%
• Protein Evolution 33%
• Physical Limitations 33%
• Novel Protein 33%
• Exact Calculation 33%
• Interaction Data 33%
• Organizing Principles 33%
• Interactome 33%
• Microprocessor Architecture 33%
• Protein-protein Interaction Network 33%
• Compute-intensive 33%
• Multicore Design 33%

Computer Science

• Multicore 100%
• Parallel Algorithms 100%
• Betweenness 100%
• Theoretic Analysis 100%
• Betweenness Centrality 50%
• Complex Networks 50%
• Research Problem 50%
• Human Interaction 25%
• Structural Property 25%
• Paradigm Shift 25%
• Power Constraint 25%
• Signaling Pathway 25%
• High-Performance Computing 25%
• Parallel Implementation 25%
• Concurrency 25%
• Pair Shortest Path 25%
• Centrality Metric 25%

Biochemistry, Genetics and Molecular Biology

• Protein Interaction 100%
• Interactome 60%
• Biological Phenomena and Functions Concerning the Entire Organism 20%
• Signal Transduction 20%
• Protein Function 20%
• Eukaryote 20%