| A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227, 2013 | 1143 | 2013 |
| Homology-based inference sets the bar high for protein function prediction T Hamp, R Kassner, S Seemayer, E Vicedo, C Schaefer, D Achten, F Auer, ... BMC bioinformatics 14 (S3), S7, 2013 | 65 | 2013 |
| HFSP: high speed homology-driven function annotation of proteins Y Mahlich, M Steinegger, B Rost, Y Bromberg Bioinformatics 34 (13), i304-i312, 2018 | 41 | 2018 |
| fusionDB: assessing microbial diversity and environmental preferences via functional similarity networks C Zhu, Y Mahlich, M Miller, Y Bromberg Nucleic acids research 46 (D1), D535-D541, 2018 | 37 | 2018 |
| Quantifying structural relationships of metal-binding sites suggests origins of biological electron transfer Y Bromberg, AA Aptekmann, Y Mahlich, L Cook, S Senn, M Miller, ... Science advances 8 (2), eabj3984, 2022 | 36 | 2022 |
| Common sequence variants affect molecular function more than rare variants? Y Mahlich, J Reeb, M Hecht, M Schelling, TAP De Beer, Y Bromberg, ... Scientific reports 7 (1), 1608, 2017 | 29 | 2017 |
| Predicted molecular effects of sequence variants link to system level of disease J Reeb, M Hecht, Y Mahlich, Y Bromberg, B Rost PLoS computational biology 12 (8), e1005047, 2016 | 22 | 2016 |
| Fingerprinting cities: differentiating subway microbiome functionality C Zhu, M Miller, N Lusskin, Y Mahlich, Y Wang, Z Zeng, Y Bromberg Biology direct 14, 1-10, 2019 | 21 | 2019 |
| 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 (1), 411-432, 2020 | 8 | 2020 |
| Learning from the unknown: exploring the range of bacterial functionality Y Mahlich, C Zhu, H Chung, PK Velaga, MC De Paolis Kaluza, ... Nucleic Acids Research 51 (19), 10162-10175, 2023 | 7 | 2023 |
| 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, 635382, 2021 | 3 | 2021 |
| An exhaustive analysis of single amino acid variants in helical transmembrane proteins O Llorian-Salvador, M Bernhofer, Y Mahlich, B Rost bioRxiv, 2019.12. 18.881318, 2019 | 2 | 2019 |
| Rethinking bacterial relationships in light of their molecular abilities Y Mahlich, C Zhu, H Chung, PK Velaga, MC de Paolis Kaluza, ... bioRxiv, 2022.11. 28.518265, 2022 | | 2022 |
| Predicting functional capabilities of microbes using a similarity graph approach Y Mahlich Technische Universität München, 2019 | | 2019 |
Yana BrombergEmory University, Departments of Biology and Computer ScienceVerified email at emory.edu