Name
Papers
Collaborators
WILLIAM R. CANNON
19
61
Citations 
PageRank 
Referers 
69
10.68
219
Referees 
References 
413
143
Search Limit
100413
Title
Citations
PageRank
Year
pGraph: Efficient Parallel Construction of Large-Scale Protein Sequence Homology Graphs180.952012
Proteotyping of microbial communities by optimization of tandem mass spectrometry data interpretation.00.342012
MapReduce implementation of a hybrid spectral library-database search method for large-scale peptide identification.120.792011
Applications in Data-Intensive Computing00.342010
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics70.772010
A Scalable Parallel Algorithm for Large-Scale Protein Sequence Homology Detection00.342010
An analysis pipeline for the inference of protein-protein interaction networks30.442009
A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data20.652009
Statistically appraising process quality of affinity isolation experiments10.352009
SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with a Case Study in Protein-Protein Interaction Network Reconstruction10.422007
Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics10.382007
Current trends in computational inference from mass spectrometry-based proteomics.40.542007
Analytics challenge - High-throughput visual analytics biological sciences: turning data into knowledge00.342006
Session Introduction00.342006
Peptide Identification Via Constrained Multi-Objective Optimization: Pareto-Based Genetic Algorithms21.292005
Constrained De Novo Peptide Identification via Multi-Objective Optimization50.522004
De Novo Analysis of Tandem Mass Spectrometry Data as a Non-Deterministic Optimization Problem00.342004
Sequence optimization as an alternative to de novo analysis of tandem mass spectrometry data.90.892004
A model of random sequences for de novo peptide sequencing40.662003