Greta Romano

According to our database, Greta Romano authored at least 7 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

A computational approach based on the colored Petri net formalism for studying multiple sclerosis.

Simone Pernice, Marzio Pennisi, Greta Romano, Alessandro Maglione, Santina Cutrupi, Francesco Pappalardo, Gianfranco Balbo, Marco Beccuti, Francesca Cordero, Raffaele A. Calogero

BMC Bioinform., December, 2019

MethylFASTQ: A Tool Simulating Bisulfite Sequencing Data.

Giulia Beatrice Piaggeschi, Nicola Licheri, Greta Romano, Simone Pernice, Laura Follia, Giulio Ferrero

Proceedings of the 27th Euromicro International Conference on Parallel, 2019

Multiple Sclerosis Disease: A Computational Approach for Investigating Its Drug Interactions.

Simone Pernice, Marco Beccuti, Greta Romano, Marzio Pennisi, Alessandro Maglione, Santina Cutrupi, Francesco Pappalardo, Lorenzo Capra, Giuliana Franceschinis, Massimiliano De Pierro, Gianfranco Balbo, Francesca Cordero, Raffaele A. Calogero

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration.

Simone Pernice, Greta Romano, Giulia Russo, Marco Beccuti, Marzio Pennisi, Francesco Pappalardo

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

ParallelHashClone: A Parallel Implementation of HashClone Suite for Clonality Assessment from NGS Data.

Greta Romano, Elisa Genuardi, Raffaele A. Calogero, Simone Ferrero

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

ParallNormal: An Efficient Variant Calling Pipeline for Unmatched Sequencing Data.

Laura Follia, Fabio Tordini, Simone Pernice, Greta Romano, Giulia Beatrice Piaggeschi, Giulio Ferrero

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

2017

HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data.

Marco Beccuti, Elisa Genuardi, Greta Romano, Luigia Monitillo, Daniela Barbero, Mario Boccadoro, Marco Ladetto, Raffaele A. Calogero, Simone Ferrero, Francesca Cordero

BMC Bioinform., 2017