| Debugging and consolidating multiple synthetic chromosomes reveals combinatorial genetic interactions Y Zhao, C Coelho, AL Hughes, L Lazar-Stefanita, S Yang, AN Brooks, ... Cell 186 (24), 5220-5236. e16, 2023 | 31 | 2023 |
| The landscape of the heritable cancer genome V Fanfani, L Citi, AL Harris, F Pezzella, G Stracquadanio Cancer Research 81 (10), 2588-2599, 2021 | 17 | 2021 |
| Systematic analysis of the IL‐17 receptor signalosome reveals a robust regulatory feedback loop H Draberova, S Janusova, D Knizkova, T Semberova, M Pribikova, ... The EMBO journal 39 (17), e104202, 2020 | 17 | 2020 |
| Dissecting the heritable risk of breast cancer: from statistical methods to susceptibility genes V Fanfani, M Zatopkova, AL Harris, F Pezzella, G Stracquadanio Seminars in cancer biology 72, 175-184, 2021 | 14 | 2021 |
| Synthetic yeast chromosome XI design provides a testbed for the study of extrachromosomal circular DNA dynamics BA Blount, X Lu, MRM Driessen, D Jovicevic, MI Sanchez, K Ciurkot, ... Cell Genomics 3 (11), 2023 | 11 | 2023 |
| Manipulating the 3D organization of the largest synthetic yeast chromosome W Zhang, L Lazar-Stefanita, H Yamashita, MJ Shen, LA Mitchell, ... Molecular Cell 83 (23), 4424-4437. e5, 2023 | 10 | 2023 |
| Context-dependent neocentromere activity in synthetic yeast chromosome VIII S Lauer, J Luo, L Lazar-Stefanita, W Zhang, LH McCulloch, V Fanfani, ... Cell Genomics 3 (11), 2023 | 9 | 2023 |
| Consequences of a telomerase-related fitness defect and chromosome substitution technology in yeast synIX strains LH McCulloch, V Sambasivam, AL Hughes, N Annaluru, S Ramalingam, ... Cell Genomics 3 (11), 2023 | 8 | 2023 |
| The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks M Ben Guebila, T Wang, CM Lopes-Ramos, V Fanfani, D Weighill, ... Genome Biology 24 (1), 45, 2023 | 5 | 2023 |
| Mutation landscape of multiple myeloma measurable residual disease: identification of targets for precision medicine M Zátopková, T Ševčíková, V Fanfani, Z Chyra, L Říhová, R Bezděková, ... Blood Advances 6 (2), 368-372, 2022 | 4 | 2022 |
| Synthetic yeast chromosome XI design enables extrachromosomal circular DNA formation on demand BA Blount, X Lu, MRM Driessen, D Jovicevic, MI Sanchez, K Ciurkot, ... bioRxiv, 2022.07. 15.500197, 2022 | 3 | 2022 |
| Gene regulatory Networks Reveal Sex Difference in Lung Adenocarcinoma E Saha, MB Guebila, V Fanfani, J Fischer, KH Shutta, P Mandros, ... bioRxiv, 2023 | 2 | 2023 |
| Discovering cancer driver genes and pathways using stochastic block model graph neural networks V Fanfani, RV Torne, P Lio’, G Stracquadanio bioRxiv, 2021.06. 29.450342, 2021 | 2 | 2021 |
| PyGNA: a unified framework for geneset network analysis V Fanfani, F Cassano, G Stracquadanio BMC bioinformatics 21, 1-22, 2020 | 2 | 2020 |
| Biologically informed NeuralODEs for genome-wide regulatory dynamics I Hossain, V Fanfani, J Quackenbush, R Burkholz Research Square, 2023 | 1 | 2023 |
| The network zoo: a multilingual package for the inference and analysis of biological networks MB Guebila, T Wang, CM Lopes-Ramos, V Fanfani, D Weighill, ... bioRxiv, 2022.05. 30.494077, 2022 | 1 | 2022 |
| Gene-level heritability analysis explains the polygenic architecture of cancer V Fanfani, L Citi, AL Harris, F Pezzella, G Stracquadanio bioRxiv, 599753, 2019 | 1 | 2019 |
| Bayesian Optimized sample-specific Networks Obtained By Omics data (BONOBO) E Saha, V Fanfani, P Mandros, M Ben-Guebila, J Fischer, K Hoff-Shutta, ... bioRxiv, 2023 | | 2023 |
| Machine learning and large scale cancer omic data: decoding the biological mechanisms underpinning cancer V Fanfani University of Edinburgh, 2022 | | 2022 |
| A unified framework for geneset network analysis V Fanfani, G Stracquadanio bioRxiv, 699926, 2019 | | 2019 |
Giovanni StracquadanioPersonal Chair in Engineering Biology, The University of EdinburghEmail verificata su ed.ac.uk
