Thomas S. Brettin

50 papers A* 1A 1B 3Misc 1Journal 32Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis.
Briefings Bioinform.
Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov, Andreas Wilke, Natasha Koussa, Sara E. Jones, Yitan Zhu, Jamie C. Overbeek, Rajeev Jain, Gayara Demini Fernando, Cesar Sanchez-Villalobos, Cristina Garcia-Cardona, Jamaludin Mohd-Yusof, Nicholas Chia, Justin M. Wozniak, Souparno Ghosh, Ranadip Pal, Thomas S. Brettin, M. Ryan Weil, Rick L. Stevens
2026 — conf
Malicious Attack Challenges and Mitigation Strategies for Large Code Models: A Survey on Data Poisoning, Adversarial Attacks, and Backdoor Vulnerabilities.
HICSS
Dongqing Lin, Luwen Huangfu, Chunhua Liao, Brian Chung, Akul Gowda, Thomas S. Brettin
2026 J jnl
PRISM: Protocol Refinement through Intelligent Simulation Modeling.
CoRR
Brian Hsu, Priyanka Setty, Rory Butler, Ryan Lewis, Casey Stone, Rebecca Weinberg, Thomas S. Brettin, Rick L. Stevens, Ian T. Foster, Arvind Ramanathan
2025 — conf
A Workflow for Error Analysis for Drug Response Prediction via Statistical Standardization and Distribution Analysis.
SC Workshops
Jake Gwinn, Justin M. Wozniak, Rajeev Jain, Yitan Zhu, Alexander Partin, Thomas S. Brettin, Rick Stevens
2025 J jnl
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis.
CoRR
Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov, Andreas Wilke, Natasha Koussa, Sara E. Jones, Yitan Zhu, Jamie C. Overbeek, Rajeev Jain, Gayara Demini Fernando, Cesar Sanchez-Villalobos, Cristina Garcia-Cardona, Jamaludin Mohd-Yusof, Nicholas Chia, Justin M. Wozniak, Souparno Ghosh, Ranadip Pal, Thomas S. Brettin, M. Ryan Weil, Rick L. Stevens
2025 — conf
BioR5: A Three-Layer Architecture for Biological Reasoning in Scientific AI.
SC Workshops
Peng Ding, Thomas S. Brettin, Rick Stevens
2025 J jnl
Data imbalance in drug response prediction: multi-objective optimization approach in deep learning setting.
Briefings Bioinform.
Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick L. Stevens
2025 — conf
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights.
PASC
Ozan Gökdemir, Carlo Siebenschuh, Alexander Brace, Azton Wells, Brian Hsu, Kyle Hippe, Priyanka Setty, Aswathy Ajith, J. Gregory Pauloski, Varuni Sastry, Sam Foreman, Huihuo Zheng, Heng Ma, Bharat Kale, Nicholas Chia, Thomas Gibbs, Michael E. Papka, Thomas S. Brettin, Francis J. Alexander, Anima Anandkumar, Ian T. Foster, Rick Stevens, Venkatram Vishwanath, Arvind Ramanathan
2025 J jnl
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights.
CoRR
Ozan Gökdemir, Carlo Siebenschuh, Alexander Brace, Azton Wells, Brian Hsu, Kyle Hippe, Priyanka Vasanthakumari, Aswathy Ajith, J. Gregory Pauloski, Varuni Katti Sastry, Sam Foreman, Huihuo Zheng, Heng Ma, Bharat Kale, Nicholas Chia, Thomas Gibbs, Michael E. Papka, Thomas S. Brettin, Francis J. Alexander, Anima Anandkumar, Ian T. Foster, Rick Stevens, Venkatram Vishwanath, Arvind Ramanathan
2025 J jnl
Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins.
CoRR
Matthew Sinclair, Moeen Meigooni, Archit Vasan, Ozan Gökdemir, Xinran Lian, Heng Ma, Yadu N. Babuji, Alexander Brace, Khalid Hossain, Carlo Siebenschuh, Thomas S. Brettin, Kyle Chard, Christopher S. Henry, Venkatram Vishwanath, Rick L. Stevens, Ian T. Foster, Arvind Ramanathan
2024 J jnl
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data.
CoRR
Jamie C. Overbeek, Alexander Partin, Thomas S. Brettin, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari, Andreas Wilke, Yitan Zhu, Austin Clyde, Sara Jones, Rohan Gnanaolivu, Yuanhang Liu, Jun Jiang, Chen Wang, Carter Knutson, Andrew D. McNaughton, Neeraj Kumar, Gayara Demini Fernando, Souparno Ghosh, Cesar Sanchez-Villalobos, Ruibo Zhang, Ranadip Pal, M. Ryan Weil, Rick L. Stevens
2024 J jnl
Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches.
CoRR
Xuefeng Liu, Songhao Jiang, Xiaotian Duan, Archit Vasan, Chong Liu, Chih-chan Tien, Heng Ma, Thomas S. Brettin, Fangfang Xia, Ian T. Foster, Rick L. Stevens
2024 — conf
High Performance Binding Affinity Prediction with a Transformer-Based Surrogate Model.
IPDPS (Workshops)
Archit Vasan, Ozan Gökdemir, Alexander Brace, Arvind Ramanathan, Thomas S. Brettin, Rick Stevens, Venkatram Vishwanath
2023 B conf
An Automation Framework for Comparison of Cancer Response Models Across Configurations.
e-Science
Justin M. Wozniak, Rajeev Jain, Andreas Wilke, Rylie Weaver, Alexander Partin, Thomas S. Brettin, Rick Stevens
2023 J jnl
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023 — conf
Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction.
SC Workshops
Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick Stevens
2023 J jnl
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics.
Int. J. High Perform. Comput. Appl.
Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, Defne G. Ozgulbas, Natalia Vassilieva, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan
2023 J jnl
Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR.
Nucleic Acids Res.
Robert D. Olson, Rida Assaf, Thomas S. Brettin, Neal Conrad, Clark Cucinell, James J. Davis, Donald M. Dempsey, Allan Dickerman, Emily M. Dietrich, Ronald W. Kenyon, Mehmet Kuscuoglu, Elliot J. Lefkowitz, Jian Lu, Dustin Machi, Catherine Macken, Chunhong Mao, Anna Maria Niewiadomska, Marcus Nguyen, Gary J. Olsen, Jamie C. Overbeek, Bruce D. Parrello, Victoria Parrello, Jacob s Porter, Gordon D. Pusch, Maulik Shukla, Indresh Singh, Lucy Stewart, Gene Tan, Chris Thomas, Margo VanOeffelen, Veronika Vonstein, Zachary S. Wallace, Andrew S. Warren, Alice R. Wattam, Fangfang Xia, Hyun Seung Yoo, Yun Zhang, Christian M. Zmasek, Richard H. Scheuermann, Rick L. Stevens
2023 — conf
Scalable Lead Prediction with Transformers using HPC resources.
SC Workshops
Archit Vasan, Thomas S. Brettin, Rick Stevens, Arvind Ramanathan, Venkatram Vishwanath
2022 J jnl
A cross-study analysis of drug response prediction in cancer cell lines.
Briefings Bioinform.
Fangfang Xia, Jonathan E. Allen, Prasanna Balaprakash, Thomas S. Brettin, Cristina Garcia-Cardona, Austin Clyde, Judith D. Cohn, James H. Doroshow, Xiaotian Duan, Veronika Dubinkina, Yvonne A. Evrard, Ya Ju Fan, Jason Gans, Stewart He, Pinyi Lu, Sergei Maslov, Alexander Partin, Maulik Shukla, Eric A. Stahlberg, Justin M. Wozniak, Hyun Seung Yoo, George F. Zaki, Yitan Zhu, Rick Stevens
2022 J jnl
Deep learning methods for drug response prediction in cancer: predominant and emerging trends.
CoRR
Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie C. Overbeek, Rick L. Stevens
2022 J jnl
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.
J. Chem. Inf. Model.
Austin Clyde, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens
2022 A* conf
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.
ICLR
Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Érica Teixeira Prates, Verónica G. Melesse Vergara, Manesh Shah, Austin Clyde, Thomas S. Brettin, Wibe Albert de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown
2021 J jnl
A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes.
Briefings Bioinform.
Margo VanOeffelen, Marcus Nguyen, Derya Aytan-Aktug, Thomas S. Brettin, Emily M. Dietrich, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Robert Olson, Gordon D. Pusch, Maulik Shukla, Rick Stevens, Veronika Vonstein, Andrew S. Warren, Alice R. Wattam, Hyun Seung Yoo, James J. Davis
2021 J jnl
CrossedWires: A Dataset of Syntactically Equivalent but Semantically Disparate Deep Learning Models.
CoRR
Max Zvyagin, Thomas S. Brettin, Arvind Ramanathan, Sumit Kumar Jha
2021 B conf
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads.
ICPP
Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin
2021 J jnl
Learning curves for drug response prediction in cancer cell lines.
BMC Bioinform.
Alexander Partin, Thomas S. Brettin, Yvonne A. Evrard, Yitan Zhu, Hyun Seung Yoo, Fangfang Xia, Songhao Jiang, Austin Clyde, Maulik Shukla, Michael Fonstein, James H. Doroshow, Rick L. Stevens
2021 J jnl
Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening.
CoRR
Austin Clyde, Thomas S. Brettin, Alexander Partin, Hyun Seung Yoo, Yadu N. Babuji, Ben Blaiszik, André Merzky, Matteo Turilli, Shantenu Jha, Arvind Ramanathan, Rick Stevens
2021 J jnl
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.
CoRR
Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Érica T. Prates, Manesh Shah, Verónica G. Melesse Vergara, Austin Clyde, Thomas S. Brettin, Wibe A. de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown
2020 J jnl
Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing.
CoRR
Neil Getty, Thomas S. Brettin, Dong Jin, Rick Stevens, Fangfang Xia
2020 J jnl
Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response.
CoRR
Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla, Hyun Seung Yoo, James H. Doroshow, Rick Stevens
2020 — conf
High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response.
MLHPC/AI4S@SC
Justin M. Wozniak, Hyun Seung Yoo, Jamaludin Mohd-Yusof, Bogdan Nicolae, Nicholson T. Collier, Jonathan Ozik, Thomas S. Brettin, Rick Stevens
2020 J jnl
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads.
CoRR
Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Thomas S. Brettin, Kyle Chard, Ryan Chard, Peter V. Coveney, Anda Trifan, Alex Brace, Austin Clyde, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Thorsten Kurth, Dieter Kranzlmüller, Hyungro Lee, Zhuozhao Li, Heng Ma, André Merzky, Gerald Mathias, Alexander Partin, Junqi Yin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling
2020 J jnl
Learning Curves for Drug Response Prediction in Cancer Cell Lines.
CoRR
Alexander Partin, Thomas S. Brettin, Yvonne A. Evrard, Yitan Zhu, Hyun Seung Yoo, Fangfang Xia, Songhao Jiang, Austin Clyde, Maulik Shukla, Michael Fonstein, James H. Doroshow, Rick Stevens
2020 J jnl
The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities.
Nucleic Acids Res.
James J. Davis, Alice R. Wattam, Ramy K. Aziz, Thomas S. Brettin, Ralph Butler, Rory Butler, Philippe Chlenski, Neal Conrad, Allan Dickerman, Emily M. Dietrich, Joseph L. Gabbard, Svetlana Gerdes, Andrew Guard, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Daniel E. Murphy-Olson, Marcus Nguyen, Eric K. Nordberg, Gary J. Olsen, Robert Olson, Jamie C. Overbeek, Ross A. Overbeek, Bruce D. Parrello, Gordon D. Pusch, Maulik Shukla, Chris Thomas, Margo VanOeffelen, Veronika Vonstein, Andrew S. Warren, Fangfang Xia, Dawen Xie, Hyun Seung Yoo, Rick Stevens
2019 J jnl
PATRIC as a unique resource for studying antimicrobial resistance.
Briefings Bioinform.
Dionysios A. Antonopoulos, Rida Assaf, Ramy Karam Aziz, Thomas S. Brettin, Christopher Bun, Neal Conrad, James J. Davis, Emily M. Dietrich, Terry Disz, Svetlana Gerdes, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Daniel E. Murphy-Olson, Eric K. Nordberg, Gary J. Olsen, Robert Olson, Ross A. Overbeek, Bruce D. Parrello, Gordon D. Pusch, John Santerre, Maulik Shukla, Rick L. Stevens, Margo VanOeffelen, Veronika Vonstein, Andrew S. Warren, Alice R. Wattam, Fangfang Xia, Hyun Seung Yoo
2019 B conf
Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks.
ICPP
Xingfu Wu, Valerie E. Taylor, Justin M. Wozniak, Rick Stevens, Thomas S. Brettin, Fangfang Xia
2018 J jnl
CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research.
BMC Bioinform.
Justin M. Wozniak, Rajeev Jain, Prasanna Balaprakash, Jonathan Ozik, Nicholson T. Collier, John Bauer, Fangfang Xia, Thomas S. Brettin, Rick Stevens, Jamaludin Mohd-Yusof, Cristina Garcia-Cardona, Brian Van Essen, Matthew Baughman
2018 — conf
Portable and Reusable Deep Learning Infrastructure with Containers to Accelerate Cancer Studies.
ESPM2@SC
George F. Zaki, Justin M. Wozniak, Jonathan Ozik, Nicholson T. Collier, Thomas S. Brettin, Rick Stevens
2018 J jnl
Predicting tumor cell line response to drug pairs with deep learning.
BMC Bioinform.
Fangfang Xia, Maulik Shukla, Thomas S. Brettin, Cristina Garcia-Cardona, Judith D. Cohn, Jonathan E. Allen, Sergei Maslov, Susan L. Holbeck, James H. Doroshow, Yvonne A. Evrard, Eric A. Stahlberg, Rick L. Stevens
2017 J jnl
Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center.
Nucleic Acids Res.
Alice R. Wattam, James J. Davis, Rida Assaf, Sébastien Boisvert, Thomas S. Brettin, Christopher Bun, Neal Conrad, Emily M. Dietrich, Terry Disz, Joseph L. Gabbard, Svetlana Gerdes, Christopher S. Henry, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Eric K. Nordberg, Gary J. Olsen, Daniel E. Murphy-Olson, Robert Olson, Ross A. Overbeek, Bruce D. Parrello, Gordon D. Pusch, Maulik Shukla, Veronika Vonstein, Andrew S. Warren, Fangfang Xia, Hyun Seung Yoo, Rick L. Stevens
2017 Misc conf
Leveraging Large-Scale Computing for Population Information Integration, Analysis, and Modeling.
AMIA
Jessica A. Boten, Donna R. Rivera, Madhumita Myneni, Georgia D. Tourassi, Tanmoy Bhattacharya, Ana Paula de Oliveira Sales, Thomas S. Brettin, Paul A. Fearn, Lynne Penberthy
2012 J jnl
RegPrecise web services interface: programmatic access to the transcriptional regulatory interactions in bacteria reconstructed by comparative genomics.
Nucleic Acids Res.
Pavel S. Novichkov, Thomas S. Brettin, Elena S. Novichkova, Paramvir S. Dehal, Adam P. Arkin, Inna Dubchak, Dmitry A. Rodionov
2011 — conf
Poster: a novel architecture for biothreat situation awareness.
SC Companion
Thomas S. Brettin, Laura Pullum, Daniel Quest, Xiaohui Cui, Songhua Xu, Richard Stouder
2011 J jnl
Scenario driven data modelling: a method for integrating diverse sources of data and data streams.
BMC Bioinform.
Shelton D. Griffith, Daniel Quest, Thomas S. Brettin, Robert W. Cottingham
2010 J jnl
Next generation models for storage and representation of microbial biological annotation.
BMC Bioinform.
Daniel Quest, Miriam L. Land, Thomas S. Brettin, Robert W. Cottingham
2008 — conf
Streptococcus in Toto: A Species-specific Comparative Analysis Website Prototype.
BIOCOMP
Roxanne Tapia, Gary Xie, Ravi D. Barabote, Gerry Myers, Thomas S. Brettin
2007 — conf
A novel approach to high throughput microbial genome finishing: Incorporation of 454 sequence data for gap closure in low quality Sanger data.
BIOCOMP
Avinash Kewalramani, Riley Arnaudville, Cliff Han, Olga Chertkov, Thomas S. Brettin
2005 A conf
BioFilter: An Architecture for Parallel Deployment and Dynamic Chaining of Standalone Bioinformatics Tools.
IPDPS
Thomas S. Brettin, Avinash Kewalramani
2001 J jnl
SVDMAN-singular value decomposition analysis of microarray data.
Bioinform.
Michael E. Wall, Patricia A. Dyck, Thomas S. Brettin