| Functional genomics platform, a cloud-based platform for studying microbial life at scale EE Seabolt, G Nayar, H Krishnareddy, A Agarwal, KL Beck, I Terrizzano, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (2 …, 2020 | 27 | 2020 |
| Analysis and forecasting of global real time RT-PCR primers and probes for SARS-CoV-2 G Nayar, EE Seabolt, M Kunitomi, A Agarwal, KL Beck, V Mukherjee, ... Scientific Reports 11 (1), 8988, 2021 | 23 | 2021 |
| Predicting Epitope Candidates for SARS-CoV-2 A Agarwal, KL Beck, S Capponi, M Kunitomi, G Nayar, E Seabolt, ... MDPI Viruses 14, 2022 | 10 | 2022 |
| Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production KL Beck, N Haiminen, A Agarwal, AP Carrieri, M Madgwick, J Kelly, ... mSystems 9 (11), e00840-24, 2024 | 6 | 2024 |
| ggMOB: elucidation of genomic conjugative features and associated cargo genes across bacterial genera using genus-genus mobilization networks G Nayar, I Terrizzano, E Seabolt, A Agarwal, C Boucher, J Ruiz, ... Frontiers in Genetics 13, 1024577, 2022 | 5 | 2022 |
| Semi-supervised pipeline for autonomous annotation of SARS-CoV-2 genomes KL Beck, E Seabolt, A Agarwal, G Nayar, S Bianco, H Krishnareddy, ... Viruses 13 (12), 2426, 2021 | 5 | 2021 |
| Integrative and conjugative elements (ICE) and associated cargo genes within and across hundreds of bacterial genera JH Kaufman, I Terrizzano, G Nayar, E Seabolt, A Agarwal, IB Slizovskiy, ... bioRxiv, 2020.04. 07.030320, 2020 | 5 | 2020 |
| Exploiting functional context in biology: Reconsidering classification of bacterial life JH Kaufman, E Seabolt, M Kunitomi, A Agarwal, K Beck, H Krishnareddy, ... 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW …, 2018 | 4 | 2018 |
| From Middle School to Graduate School: Combining Conceptual and Simulation Modeling for Making Science Learning Easier A Agarwal, T Hartman, A Goel Proceedings of the Annual Meeting of the Cognitive Science Society 40, 2018 | 3 | 2018 |
| Analysis and Forecasting of Global RT-PCR Primers for SARS-CoV-2 G Nayar, EE Seabolt, M Kunitomi, A Agarwal, KL Beck, V Mukherjee, ... bioRxiv, 2020.12. 26.424429, 2020 | 2 | 2020 |
| Context analytics: Vision, architecture, opportunity E Kandogan, M Roth, I Terrizzano, E Seabolt, P Schwarz, H Krishnareddy, ... 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW …, 2018 | 2 | 2018 |
| De novo virulence feature discovery and risk assessment in Klebsiella pneumoniae based on microbial genome vectorization KL Beck, A Agarwal, A Laufer Halpin, LC McDonald, SL McKay, AG Kent, ... Communications Biology 8 (1), 623, 2025 | 1 | 2025 |
| Detecting anomalous content in dairy with whole metagenome sequencing EG Niina Haiminen, Kristen L Beck, Akshay Agarwal, Anna-Paola Carrieri, Ban ... bioRxiv, 2022.08. 16.504221, 2022 | 1* | 2022 |
| Semi-supervised identification of sars-cov-2 molecular targets KL Beck, E Seabolt, A Agarwal, G Nayar, S Bianco, H Krishnareddy, ... bioRxiv, 2021.05. 03.440524, 2021 | 1 | 2021 |
| Commensal or pathogen: computationally vectorizing microbial genomes for de novo risk assessment and virulence feature discovery in Klebsiella pneumoniae KL Beck, A Agarwal, AL Halpin, LC McDonald, SL McKay, AG Kent, ... bioRxiv, 2024.05. 13.593956, 2024 | | 2024 |
| Discovering Proteins: Function to Name JK Akshay Agarwal, Sara Capponi, Ed Seabolt, Kristen Beck Conference on Intelligent Systems for Molecular Biology, 2022 | | 2022 |
| Predicting antibiotic resistance and complementary antibiotic combinations J Kaufman, E Seabolt, K Beck, MA Roth, A Agarwal, G Nayar US Patent App. 16/865,743, 2021 | | 2021 |
| Survey of Public Assay Data: Opportunities and Challenges to Understanding Antimicrobial Resistance A Agarwal, G Nayar, J Kaufman bioRxiv, 2019 | | 2019 |
| ICDEW 2018 R Center, I Terrizzano, H Krishnareddy, A Agarwal | | |