Thomas S. Brettin

Orcid: 0000-0001-9301-9760

According to our database1, Thomas S. Brettin authored at least 40 papers between 2001 and 2023.

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Bibliography

2023
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics.
Int. J. High Perform. Comput. Appl., November, 2023

Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR.
Nucleic Acids Res., January, 2023

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023

Towards a Modular Architecture for Science Factories.
CoRR, 2023

Scalable Lead Prediction with Transformers using HPC resources.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

An Automation Framework for Comparison of Cancer Response Models Across Configurations.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.
J. Chem. Inf. Model., 2022

Deep learning methods for drug response prediction in cancer: predominant and emerging trends.
CoRR, 2022

A cross-study analysis of drug response prediction in cancer cell lines.
Briefings Bioinform., 2022

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
CrossedWires: A Dataset of Syntactically Equivalent but Semantically Disparate Deep Learning Models.
CoRR, 2021

Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening.
CoRR, 2021

Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers.
CoRR, 2021

Learning curves for drug response prediction in cancer cell lines.
BMC Bioinform., 2021

A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes.
Briefings Bioinform., 2021


2020
The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities.
Nucleic Acids Res., 2020

Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release.
CoRR, 2020

Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response.
CoRR, 2020

Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing.
CoRR, 2020

A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning.
CoRR, 2020

High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response.
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

2019
PATRIC as a unique resource for studying antimicrobial resistance.
Briefings Bioinform., 2019

Scalable reinforcement-learning-based neural architecture search for cancer deep learning research.
Proceedings of the International Conference for High Performance Computing, 2019

Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks.
Proceedings of the 48th International Conference on Parallel Processing, 2019

2018
Predicting tumor cell line response to drug pairs with deep learning.
BMC Bioinform., 2018

CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research.
BMC Bioinform., 2018

Portable and Reusable Deep Learning Infrastructure with Containers to Accelerate Cancer Studies.
Proceedings of the 4th International Workshop on Extreme Scale Programming Models and Middleware, 2018

2017
Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center.
Nucleic Acids Res., 2017

Leveraging Large-Scale Computing for Population Information Integration, Analysis, and Modeling.
Proceedings of the AMIA 2017, 2017

2015
A RESTful API for Accessing Microbial Community Data for MG-RAST.
PLoS Comput. Biol., 2015

2012
RegPrecise web services interface: programmatic access to the transcriptional regulatory interactions in bacteria reconstructed by comparative genomics.
Nucleic Acids Res., 2012

2011
Scenario driven data modelling: a method for integrating diverse sources of data and data streams.
BMC Bioinform., 2011

Poster: a novel architecture for biothreat situation awareness.
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

2010
Next generation models for storage and representation of microbial biological annotation.
BMC Bioinform., 2010

2008
Streptococcus in Toto: A Species-specific Comparative Analysis Website Prototype.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

2007
A novel approach to high throughput microbial genome finishing: Incorporation of 454 sequence data for gap closure in low quality Sanger data.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

2005
BioFilter: An Architecture for Parallel Deployment and Dynamic Chaining of Standalone Bioinformatics Tools.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

2001
SVDMAN-singular value decomposition analysis of microarray data.
Bioinform., 2001


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