| SeqyClean: a pipeline for high-throughput sequence data preprocessing IY Zhbannikov, SS Hunter, JA Foster, ML Settles Proceedings of the 8th ACM international conference on bioinformatics …, 2017 | 69 | 2017 |
| “Physiological Dysregulation” as a promising measure of robustness and resilience in studies of aging and a new indicator of preclinical disease KG Arbeev, SV Ukraintseva, O Bagley, IY Zhbannikov, AA Cohen, ... The Journals of Gerontology: Series A 74 (4), 462-468, 2019 | 52 | 2019 |
| Hidden heterogeneity in Alzheimer's disease: insights from genetic association studies and other analyses AI Yashin, F Fang, M Kovtun, D Wu, M Duan, K Arbeev, I Akushevich, ... Experimental gerontology 107, 148-160, 2018 | 51 | 2018 |
| haploR: an R-package for querying web-based annotation tools IY Zhbannkov, K Arbeev, AI Yashin F1000Research 6 (97), 2017 | 35 | 2017 |
| SEQYCLEAN user manual IY Zhbannikov, SS Hunter, ML Settles New York, NY: Elsevier, 2013 | 14 | 2013 |
| rqt: an R package for gene-level meta-analysis IY Zhbannikov, KG Arbeev, AI Yashin Bioinformatics, 2017 | 11 | 2017 |
| MetAmp: combining amplicon data from multiple markers for OTU analysis IY Zhbannikov, JA Foster Bioinformatics 31 (11), 1830-1832, 2015 | 9 | 2015 |
| stpm: an R package for stochastic process model IY Zhbannikov, K Arbeev, I Akushevich, E Stallard, AI Yashin BMC bioinformatics 18, 1-12, 2017 | 6 | 2017 |
| Pure and confounded effects of causal SNPs on longevity: insights for proper interpretation of research findings in GWAS of populations with different genetic structures AI Yashin, I Zhbannikov, L Arbeeva, KG Arbeev, D Wu, I Akushevich, ... Frontiers in Genetics 7, 188, 2016 | 6 | 2016 |
| A genetic stochastic process model for genome‐wide joint analysis of biomarker dynamics and disease susceptibility with longitudinal data L He, I Zhbannikov, KG Arbeev, AI Yashin, AM Kulminski Genetic epidemiology 41 (7), 620-635, 2017 | 5 | 2017 |
| Contributions of women to cardiovascular science over two decades: authorship, leadership, and mentorship V Blumer, IY Zhbannikov, PS Douglas Journal of the American Heart Association 12 (5), e026828, 2023 | 4 | 2023 |
| decisivatoR: an R infrastructure package that addresses the problem of phylogenetic decisiveness IY Zhbannikov, JW Brown, JA Foster Proceedings of the International Conference on Bioinformatics, Computational …, 2013 | 4 | 2013 |
| SlopMap: a software application tool for quick and flexible identification of similar sequences using exact k-mer matching IY Zhbannikov, SS Hunter, ML Settles, JA Foster Journal of data mining in genomics & proteomics 4 (3), 2013 | 4 | 2013 |
| Analyzing high-throughput microbial amplicon sequence data using multiple markers IY Zhbannikov, JA Foster Metagenomics, 121-138, 2018 | 3 | 2018 |
| Package ‘haploR’ IY Zhbannikov, K Arbeev, AI Yashin | 2 | 2023 |
| Associations of a polygenic risk score with coronary artery disease phenotypes in the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE) trial JD Newman, PS Douglas, I Zhbannikov, M Ferencik, B Foldyna, ... American heart journal 252, 12-15, 2022 | 2 | 2022 |
| cophesim: A comprehensive phenotype simulator for testing novel association methods IY Zhbannikov, KG Arbeev, AI Yashin F1000Research 6, 2017 | 2 | 2017 |
| SlopMap: a software application tool for quick and flexible identification of similar sequences using exact k-mer matching. J. Data Min IY Zhbannikov Genomics Proteomics 4 (10.4172), 2153-0602.1000133, 2013 | 2 | 2013 |
| An antiplatelet response gene expression signature is associated with bleeding KA Friede, RA Myers, J Gales, I Zhbannikov, TL Ortel, SH Shah, WE Kraus, ... Cardiovascular Research 119 (2), 551-560, 2023 | 1 | 2023 |
| Epistatic Effects on Aging Traits in Sets of Genes Selected with Different Biological Assumptions SV Ukraintseva, IY Zhbannikov, K Arbeev, M Duan, A Kulminski, ... Innovation in Aging 1 (suppl_1), 1234-1235, 2017 | 1 | 2017 |
Svetlana UkraintsevaResearch Professor, Duke UniversityVerified email at duke.edu
