G. Romano

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

Marco Beccuti, Gianfranco Balbo, Francesco Pappalardo, 2019, BMC Bioinformatics.

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

Marco Beccuti, Francesca Cordero, Greta Romano, 2017, BMC Bioinformatics.

ParallNormal: An Efficient Variant Calling Pipeline for Unmatched Sequencing Data

Giulio Ferrero, Simone Pernice, Giulia Beatrice Piaggeschi, 2018, 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

rCASC: reproducible Classification Analysis of Single Cell sequencing data

Marco Beccuti, Francesca Cordero, Luca Alessandrì, 2018, bioRxiv.

Application of the Euro Clonality next‐generation sequencing‐based marker screening approach to detect immunoglobulin heavy chain rearrangements in mantle cell lymphoma patients: first data from the Fondazione Italiana Linfomi MCL0208 trial

S. Ferrero, M. Ladetto, F. Cordero, 2021, British journal of haematology.

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

Marco Beccuti, Giulia Russo, Francesco Pappalardo, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

Raffaele Calogero, Greta Romano, Simone Ferrero, 2018, 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

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

M. Boccadoro, S. Ferrero, M. Ladetto, 2017, BMC Bioinformatics.

Multiple Sclerosis disease: a computational approach for investigating its drug interactions

Marco Beccuti, Giuliana Franceschinis, Massimiliano De Pierro, 2020, CIBB.