| Computational predictors fail to identify amino acid substitution effects at rheostat positions M Miller, Y Bromberg, L Swint-Kruse Scientific reports 7, 41329, 2017 | 11 | 2017 |
| Functional sequencing read annotation for high precision microbiome analysis C Zhu, M Miller, S Marpaka, P Vaysberg, MC Rühlemann, G Wu, ... Nucleic acids research 46 (4), e23-e23, 2017 | 9 | 2017 |
| fusionDB: assessing microbial diversity and environmental preferences via functional similarity networks C Zhu, Y Mahlich, M Miller, Y Bromberg Nucleic Acids Research, 2017 | 4 | 2017 |
| Assessing the performance of in‐silico methods for predicting the pathogenicity of variants in the gene CHEK2, among Hispanic females with breast cancer A Voskanian, P Katsonis, O Lichtarge, V Pejaver, P Radivojac, ... Human mutation, 2019 | 3 | 2019 |
| Performance of computational methods for the evaluation of pericentriolar material 1 missense variants in CAGI‐5 AM Monzon, M Carraro, L Chiricosta, F Reggiani, J Han, K Ozturk, ... Human mutation 40 (9), 1474-1485, 2019 | 2 | 2019 |
| Assessment of methods for predicting the effects of PTEN and TPMT protein variants V Pejaver, G Babbi, R Casadio, L Folkman, P Katsonis, K Kundu, ... Human mutation, 2019 | 2 | 2019 |
| fuNTRp: Identifying protein positions for variation driven functional tuning M Miller, D Vitale, B Rost, Y Bromberg bioRxiv, 578757, 2019 | 2 | 2019 |
| clubber: removing the bioinformatics bottleneck in big data analyses M Miller, C Zhu, Y Bromberg Journal of integrative bioinformatics 14 (2), 2017 | 2 | 2017 |
| What went wrong with variant effect predictor performance for the PCM1 challenge M Miller, Y Wang, Y Bromberg Human mutation, 2019 | 1 | 2019 |
| Identifying Crohn’s disease signal from variome analysis Y Wang, M Miller, Y Astrakhan, BS Petersen, S Schreiber, A Franke, ... Genome medicine 11 (1), 59, 2019 | | 2019 |
Yana BrombergRutgers University, Department of Microbiology and Biochemistry and Department of GeneticsVerified email at rci.rutgers.edu