| 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, 2018 | 31 | 2018 |
| Computational predictors fail to identify amino acid substitution effects at rheostat positions M Miller, Y Bromberg, L Swint-Kruse Scientific reports 7 (1), 1-13, 2017 | 27 | 2017 |
| fusionDB: assessing microbial diversity and environmental preferences via functional similarity networks C Zhu, Y Mahlich, M Miller, Y Bromberg Nucleic Acids Research, 2017 | 20 | 2017 |
| funtrp: identifying protein positions for variation driven functional tuning M Miller, D Vitale, PC Kahn, B Rost, Y Bromberg Nucleic Acids Research, 2019 | 14 | 2019 |
| Fingerprinting cities: differentiating subway microbiome functionality C Zhu, M Miller, N Lusskin, Y Mahlich, Y Wang, Z Zeng, Y Bromberg Biology direct 14 (1), 1-10, 2019 | 12 | 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 40 (9), 1495-1506, 2019 | 8 | 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), 1-15, 2019 | 6 | 2019 |
| 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 40 (9), 1612-1622, 2019 | 6 | 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 | 5 | 2019 |
| What went wrong with variant effect predictor performance for the PCM1 challenge M Miller, Y Wang, Y Bromberg Human mutation 40 (9), 1486-1494, 2019 | 4 | 2019 |
| clubber: removing the bioinformatics bottleneck in big data analyses M Miller, C Zhu, Y Bromberg Journal of integrative bioinformatics 14 (2), 2017 | 4 | 2017 |
| Tumor restriction by type I collagen opposes tumor-promoting effects of cancer-associated fibroblasts S Bhattacharjee, F Hamberger, A Ravichandra, M Miller, A Nair, S Affo, ... The Journal of Clinical Investigation, 2021 | | 2021 |
| Low Diversity of Human Variation Despite Mostly Mild Functional Impact of De Novo Variants Y Mahlich, M Miller, Z Zeng, Y Bromberg Frontiers in molecular biosciences 8, 74, 2021 | | 2021 |
| Snow microbiome functional analyses reveal novel aspects of microbial metabolism of complex organic compounds C Zhu, M Miller, N Lusskin, B Bergk Pinto, L Maccario, M Häggblom, ... MicrobiologyOpen 9 (9), e1100, 2020 | | 2020 |
| Computational Approaches for Unraveling the Effects of Variation in the Human Genome and Microbiome C Zhu, M Miller, Z Zeng, Y Wang, Y Mahlich, A Aptekmann, Y Bromberg Annual Review of Biomedical Data Science 3, 411-432, 2020 | | 2020 |
| Expression and regulation of the mer operon in Thermus thermophilus J Norambuena, M Miller, JM Boyd, T Barkay Environmental microbiology 22 (4), 1619-1634, 2020 | | 2020 |
| Bio-Node–Bioinformatics in the Cloud Y Spreen, M Miller bioRxiv, 2020 | | 2020 |
| Functional profiles of health: elucidating genetics and microbiome of human disease CM Miller Technische Universität München, 2018 | | 2018 |
Yana BrombergRutgers University, Department of Microbiology and Biochemistry and Department of GeneticsVerified email at rci.rutgers.edu
