| Robust and scalable inference of population history from hundreds of unphased whole genomes J Terhorst, JA Kamm, YS Song Nature genetics 49 (2), 303-309, 2017 | 619 | 2017 |
| Communication-efficient distributed dual coordinate ascent M Jaggi, V Smith, M Takác, J Terhorst, S Krishnan, T Hofmann, MI Jordan Advances in neural information processing systems 27, 2014 | 408 | 2014 |
| Terminal Pleistocene Alaskan genome reveals first founding population of Native Americans JV Moreno-Mayar, BA Potter, L Vinner, M Steinrücken, S Rasmussen, ... Nature 553 (7687), 203-207, 2018 | 337 | 2018 |
| Efficiently inferring the demographic history of many populations with allele count data J Kamm, J Terhorst, R Durbin, YS Song Journal of the American Statistical Association 115 (531), 1472-1487, 2020 | 125 | 2020 |
| Fundamental limits on the accuracy of demographic inference based on the sample frequency spectrum J Terhorst, YS Song Proceedings of the National Academy of Sciences 112 (25), 7677-7682, 2015 | 91 | 2015 |
| Efficient computation of the joint sample frequency spectra for multiple populations JA Kamm, J Terhorst, YS Song Journal of Computational and Graphical Statistics 26 (1), 182-194, 2017 | 79 | 2017 |
| High-throughput inference of pairwise coalescence times identifies signals of selection and enriched disease heritability PF Palamara, J Terhorst, YS Song, AL Price Nature Genetics 50 (9), 1311-1317, 2018 | 75 | 2018 |
| Multi-locus analysis of genomic time series data from experimental evolution J Terhorst, C Schlötterer, YS Song PLoS genetics 11 (4), e1005069, 2015 | 69 | 2015 |
| SM a SH: a benchmarking toolkit for human genome variant calling A Talwalkar, J Liptrap, J Newcomb, C Hartl, J Terhorst, K Curtis, M Bresler, ... Bioinformatics 30 (19), 2787-2795, 2014 | 61 | 2014 |
| Inference of population history using coalescent HMMs: review and outlook JP Spence, M Steinrücken, J Terhorst, YS Song Current opinion in genetics & development 53, 70-76, 2018 | 60 | 2018 |
| Whole-genome sequencing reveals a complex African population demographic history and signatures of local adaptation S Fan, JP Spence, Y Feng, MEB Hansen, J Terhorst, MH Beltrame, ... Cell 186 (5), 923-939. e14, 2023 | 37 | 2023 |
| Explaining groups of points in low-dimensional representations G Plumb, J Terhorst, S Sankararaman, A Talwalkar International Conference on Machine Learning, 7762-7771, 2020 | 22 | 2020 |
| Direct detection of natural selection in Bronze Age Britain I Mathieson, J Terhorst Genome Research 32 (11-12), 2057-2067, 2022 | 17 | 2022 |
| A class of identifiable phylogenetic birth–death models B Legried, J Terhorst Proceedings of the National Academy of Sciences 119 (35), e2119513119, 2022 | 17* | 2022 |
| A linear adjustment-based approach to posterior drift in transfer learning S Maity, D Dutta, J Terhorst, Y Sun, M Banerjee Biometrika 111 (1), 31-50, 2024 | 9 | 2024 |
| Exact decoding of the sequentially Markov coalescent C Ki, J Terhorst bioRxiv, 2020.09. 21.307355, 2020 | 9 | 2020 |
| Conserving endangered species through regulation of urban development: the case of California vernal pools D Sunding, J Terhorst Land Economics 90 (2), 290-305, 2014 | 9 | 2014 |
| Identifiability and inference of phylogenetic birth–death models B Legried, J Terhorst Journal of Theoretical Biology 568, 111520, 2023 | 8 | 2023 |
| Riches of phenotype computationally extracted from microbial colonies TY Liu, AE Dodson, J Terhorst, YS Song, J Rine Proceedings of the National Academy of Sciences 113 (20), E2822-E2831, 2016 | 8 | 2016 |
| Variational phylodynamic inference using pandemic-scale data C Ki, J Terhorst Molecular Biology and Evolution 39 (8), msac154, 2022 | 7 | 2022 |
John "Jack" KammGenentechVerified email at gene.com
