 | 2011 |
| 19 |  | Ananth Kalyanaraman,
William R. Cannon,
Benjamin Latt,
Douglas J. Baxter:
MapReduce implementation of a hybrid spectral library-database search method for large-scale peptide identification.
Bioinformatics 27(21): 3072-3073 (2011) |
| 2010 |
| 18 |  | Changjun Wu,
Ananth Kalyanaraman,
William R. Cannon:
A Scalable Parallel Algorithm for Large-Scale Protein Sequence Homology Detection.
ICPP 2010: 333-342 |
| 17 |  | Anuj R. Shah,
Joshua N. Adkins,
Douglas J. Baxter,
William R. Cannon,
Daniel G. Chavarría-Miranda,
Sutanay Choudhury,
Ian Gorton,
Deborah K. Gracio,
Todd D. Halter,
Navdeep Jaitly,
John R. Johnson,
Richard T. Kouzes,
Matthew C. Macduff,
Andrès Márquez,
Matthew E. Monroe,
Christopher S. Oehmen,
William A. Pike,
Chad Scherrer,
Oreste Villa,
Bobbie-Jo M. Webb-Robertson,
Paul D. Whitney,
Nino Zuljevic:
Applications in Data-Intensive Computing.
Advances in Computers 79: 1-70 (2010) |
| 16 |  | Bobbie-Jo M. Webb-Robertson,
William R. Cannon,
Christopher S. Oehmen,
Anuj R. Shah,
Vidhya Gurumoorthi,
Mary S. Lipton,
Katrina M. Waters:
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics.
Bioinformatics 26(13): 1677-1683 (2010) |
| 2009 |
| 15 |  | Gaurav Ramesh Kulkarni,
Ananth Kalyanaraman,
William R. Cannon,
Douglas J. Baxter:
A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data.
ICPP Workshops 2009: 423-430 |
| 14 |  | Julia L. Sharp,
John J. Borkowski,
Denise Schmoyer,
Don Simone Daly,
Samuel Purvine,
William R. Cannon,
Gregory B. Hurst:
Statistically appraising process quality of affinity isolation experiments.
Computational Statistics & Data Analysis 53(5): 1720-1726 (2009) |
| 13 |  | Ronald C. Taylor,
Mudita Singhal,
Don Simone Daly,
Jason M. Gilmore,
William R. Cannon,
Kelly Domico,
Amanda M. White,
Deanna L. Auberry,
Kenneth J. Auberry,
Brian Hooker,
Gregory B. Hurst,
Jason E. McDermott,
W. Hayes McDonald,
Dale Pelletier,
Denise Schmoyer,
H. Steven Wiley:
An analysis pipeline for the inference of protein-protein interaction networks.
IJDMB 3(4): 409-430 (2009) |
| 2008 |
| 12 |  | Bobbie-Jo M. Webb-Robertson,
William R. Cannon,
Christopher S. Oehmen,
Anuj R. Shah,
Vidhya Gurumoorthi,
Mary S. Lipton,
Katrina M. Waters:
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics.
Bioinformatics 24(13): 1503-1509 (2008) |
| 2007 |
| 11 |  | Bobbie-Jo M. Webb-Robertson,
Christopher S. Oehmen,
William R. Cannon:
Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics.
ICMLA 2007: 500-505 |
| 10 |  | Ronald C. Taylor,
Mudita Singhal,
Don Simone Daly,
Kelly Domico,
Amanda M. White,
Deanna L. Auberry,
Kenneth J. Auberry,
Brian Hooker,
Gregory B. Hurst,
Jason E. McDermott,
W. Hayes McDonald,
Dale Pelletier,
Denise Schmoyer,
William R. Cannon:
SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with a Case Study in Protein-Protein Interaction Network Reconstruction.
ICMLA 2007: 587-593 |
| 9 |  | William R. Cannon,
Bobbie-Jo M. Webb-Robertson:
Session Introduction.
Pacific Symposium on Biocomputing 2007: 403-408 |
| 8 |  | Bobbie-Jo M. Webb-Robertson,
William R. Cannon:
Current trends in computational inference from mass spectrometry-based proteomics.
Briefings in Bioinformatics 8(5): 304-317 (2007) |
| 2006 |
| 7 |  | Bobbie-Jo M. Webb-Robertson,
William R. Cannon,
Joshua N. Adkins,
Deborah K. Gracio:
Session Introduction.
Pacific Symposium on Biocomputing 2006: 212-218 |
| 6 |  | Christopher S. Oehmen,
Lee Ann McCue,
Joshua N. Adkins,
Katrina M. Waters,
Tim Carlson,
William R. Cannon,
Bobbie-Jo M. Webb-Robertson,
Douglas J. Baxter,
Elena S. Peterson,
Mudita Singhal,
Anuj R. Shah,
Kyle R. Klicker:
Analytics challenge - High-throughput visual analytics biological sciences: turning data into knowledge.
SC 2006: 299 |
| 2005 |
| 5 |  | Joël M. Malard,
Alejandro Heredia-Langner,
William R. Cannon,
Ryan W. Mooney,
Douglas J. Baxter:
Peptide identification via constrained multi-objective optimization: Pareto-based genetic algorithms.
Concurrency and Computation: Practice and Experience 17(14): 1687-1704 (2005) |
| 2004 |
| 4 |  | Joël M. Malard,
Alejandro Heredia-Langner,
Douglas J. Baxter,
Kristin H. Jarman,
William R. Cannon:
Constrained De Novo Peptide Identification via Multi-Objective Optimization.
IPDPS 2004 |
| 3 |  | Alejandro Heredia-Langner,
William R. Cannon,
Kenneth D. Jarman,
Kristin H. Jarman:
De Novo Analysis of Tandem Mass Spectrometry Data as a Non-Deterministic Optimization Problem.
METMBS 2004: 113-117 |
| 2 |  | Alejandro Heredia-Langner,
William R. Cannon,
Kenneth D. Jarman,
Kristin H. Jarman:
Sequence optimization as an alternative to de novo analysis of tandem mass spectrometry data.
Bioinformatics 20(14): 2296-2304 (2004) |
| 2003 |
| 1 |  | Kenneth D. Jarman,
William R. Cannon,
Kristin H. Jarman,
Alejandro Heredia-Langner:
A Model of Random Sequences for de novo Peptide Sequencing.
BIBE 2003: 206-213 |