Maximilian Miller
TitleCited byYear
Computational predictors fail to identify amino acid substitution effects at rheostat positions
M Miller, Y Bromberg, L Swint-Kruse
Scientific reports 7, 41329, 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
fusionDB: assessing microbial diversity and environmental preferences via functional similarity networks
C Zhu, Y Mahlich, M Miller, Y Bromberg
Nucleic Acids Research, 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
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
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
fuNTRp: Identifying protein positions for variation driven functional tuning
M Miller, D Vitale, B Rost, Y Bromberg
bioRxiv, 578757, 2019
clubber: removing the bioinformatics bottleneck in big data analyses
M Miller, C Zhu, Y Bromberg
Journal of integrative bioinformatics 14 (2), 2017
What went wrong with variant effect predictor performance for the PCM1 challenge
M Miller, Y Wang, Y Bromberg
Human mutation, 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
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Articles 1–10