Manuel Giollo
Manuel Giollo
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An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
Genome biology 17 (1), 1-19, 2016
Comprehensive large-scale assessment of intrinsic protein disorder
I Walsh, M Giollo, T Di Domenico, C Ferrari, O Zimmermann, SCE Tosatto
Bioinformatics 31 (2), 201-208, 2015
NeEMO: a method using residue interaction networks to improve prediction of protein stability upon mutation
M Giollo, AJM Martin, I Walsh, C Ferrari, SCE Tosatto
BMC genomics 15 (4), 1-11, 2014
INGA: protein function prediction combining interaction networks, domain assignments and sequence similarity
D Piovesan, M Giollo, E Leonardi, C Ferrari, SCE Tosatto
Nucleic acids research 43 (W1), W134-W140, 2015
RepeatsDB: a database of tandem repeat protein structures
T Di Domenico, E Potenza, I Walsh, R Gonzalo Parra, M Giollo, ...
Nucleic acids research 42 (D1), D352-D357, 2014
Protein function prediction using guilty by association from interaction networks
D Piovesan, M Giollo, C Ferrari, SCE Tosatto
Amino Acids 47 (12), 2583-2592, 2015
BOOGIE: predicting blood groups from high throughput sequencing data
M Giollo, G Minervini, M Scalzotto, E Leonardi, C Ferrari, SCE Tosatto
PloS one 10 (4), e0124579, 2015
Design and analysis of a Petri net model of the Von Hippel-Lindau (VHL) tumor suppressor interaction network
G Minervini, E Panizzoni, M Giollo, A Masiero, C Ferrari, SCE Tosatto
PloS one 9 (6), e96986, 2014
Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges
R Daneshjou, Y Wang, Y Bromberg, S Bovo, PL Martelli, G Babbi, ...
Human mutation 38 (9), 1182-1192, 2017
Performance of in silico tools for the evaluation of p16INK4a (CDKN2A) variants in CAGI
M Carraro, G Minervini, M Giollo, Y Bromberg, E Capriotti, R Casadio, ...
Human mutation 38 (9), 1042-1050, 2017
The Victor C++ library for protein representation and advanced manipulation
L Hirsh, D Piovesan, M Giollo, C Ferrari, SCE Tosatto
Bioinformatics 31 (7), 1138-1140, 2015
Towards big data visualization for monitoring and diagnostics of high volume semiconductor manufacturing
D Gkorou, A Ypma, G Tsirogiannis, M Giollo, D Sonntag, G Vinken, ...
Proceedings of the Computing Frontiers Conference, 338-342, 2017
Machine learning for fab automated diagnostics
M Giollo, A Lam, D Gkorou, XL Liu, R van Haren
33rd European Mask and Lithography Conference 10446, 104460O, 2017
Matching phenotypes to whole genomes: Lessons learned from four iterations of the personal genome project community challenges
B Cai, B Li, N Kiga, J Thusberg, T Bergquist, YC Chen, N Niknafs, ...
Human mutation 38 (9), 1266-1276, 2017
‘A study on the writer identification task for paleographic document analysis
F Aiolli, M Giollo
Proc. 11th IASTED Int’l. Conf. on Artificial Intelligence and Applications—AIA, 2011
Crohn disease risk prediction—Best practices and pitfalls with exome data
M Giollo, DT Jones, M Carraro, E Leonardi, C Ferrari, SCE Tosatto
Human mutation 38 (9), 1193-1200, 2017
Assessing computational predictions of the phenotypic effect of cystathionine‐beta‐synthase variants
L Kasak, C Bakolitsa, Z Hu, C Yu, J Rine, DF Dimster‐Denk, G Pandey, ...
Human mutation 40 (9), 1530-1545, 2019
Methods of determining corrections for a patterning process
KOU Weitian, A Ypma, M Hauptmann, M Kupers, LM Vergaij-huizer, ...
US Patent App. 16/335,277, 2020
Computational Approaches to Address the Next-Generation Sequencing Era
M Giollo
RING MD: gathering time into structures: WED-066
A Masiero, M Giollo, G Minervini, S Tosatto
The Febs Journal 281, 2014
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