| The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities JJ Davis, AR Wattam, RK Aziz, T Brettin, R Butler, RM Butler, P Chlenski, ... Nucleic acids research 48 (D1), D606-D612, 2020 | 827 | 2020 |
| A machine learning-based service for estimating quality of genomes using PATRIC B Parrello, R Butler, P Chlenski, R Olson, J Overbeek, GD Pusch, ... BMC bioinformatics 20, 1-9, 2019 | 36 | 2019 |
| Accurate and robust inference of microbial growth dynamics from metagenomic sequencing reveals personalized growth rates TA Joseph, P Chlenski, A Litman, T Korem, I Pe'er Genome Research 32 (3), 558-568, 2022 | 24 | 2022 |
| Supervised extraction of near-complete genomes from metagenomic samples: A new service in PATRIC B Parrello, R Butler, P Chlenski, GD Pusch, R Overbeek PLoS One 16 (4), e0250092, 2021 | 11* | 2021 |
| Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learning P Hanke, B Parrello, O Vasieva, C Akins, P Chlenski, G Babnigg, C Henry, ... Metabolic Engineering Communications 17, e00225, 2023 | 1 | 2023 |
| Fast hyperboloid decision tree algorithms P Chlenski, E Turok, A Moretti, I Pe'er arXiv preprint arXiv:2310.13841, 2023 | 1 | 2023 |
| Signals of microbial growth learned from single amplicon samples PA Chlenski, D Ricaurte, I Pe'er bioRxiv, 2023.11. 07.565791, 2023 | | 2023 |
| MiSDEED: a synthetic data engine for microbiome study power analysis and study design P Chlenski, M Hsu, I Pe’er Bioinformatics Advances 2 (1), vbac043, 2022 | | 2022 |
Itsik Pe'erDepartment of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
