L
Lorenzo Dematte
Researcher at University of Trento
Publications - 23
Citations - 1800
Lorenzo Dematte is an academic researcher from University of Trento. The author has contributed to research in topics: Process calculus & Stochastic simulation. The author has an hindex of 11, co-authored 23 publications receiving 1707 citations. Previous affiliations of Lorenzo Dematte include The Microsoft Research - University of Trento Centre for Computational and Systems Biology.
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Journal ArticleDOI
A High Quality Draft Consensus Sequence of the Genome of a Heterozygous Grapevine Variety
Riccardo Velasco,Andrey Zharkikh,Michela Troggio,Dustin Cartwright,Alessandro Cestaro,Dmitry Pruss,Massimo Pindo,Lisa M. Fitzgerald,Silvia Vezzulli,Julia Reid,Giulia Malacarne,Diana Iliev,G. Coppola,Bryan Wardell,Diego Micheletti,Teresita Macalma,Marco Facci,J.T. Mitchell,Michele Perazzolli,Glenn Eldredge,Pamela Gatto,Rozan Oyzerski,Marco Moretto,N. Gutin,Marco Stefanini,Yang Chen,C. Segala,Christine Davenport,Lorenzo Dematte,Amy Mraz,Juri Battilana,Keith E. Stormo,Fabrizio Costa,Quanzhou Tao,Azeddine Si-Ammour,Tim Harkins,Angie Lackey,Clotilde Perbost,Bruce E Taillon,Alessandra Stella,Victor V. Solovyev,Jeffrey A. Fawcett,Lieven Sterck,Klaas Vandepoele,Stella M. Grando,Stefano Toppo,Claudio Moser,Jerry S. Lanchbury,Robert Bogden,Mark H. Skolnick,Vittorio Sgaramella,Satish Bhatnagar,Paolo Fontana,Alexander Gutin,Yves Van de Peer,Francesco Salamini,Roberto Viola +56 more
TL;DR: A high quality draft genome sequence of a cultivated clone of V. vinifera Pinot Noir provides candidate genes implicated in traits relevant to grapevine cultivation, such as those influencing wine quality, via secondary metabolites, and those connected with the extreme susceptibility of grape to pathogens.
Journal ArticleDOI
Genome-wide transcriptional analysis of grapevine berry ripening reveals a set of genes similarly modulated during three seasons and the occurrence of an oxidative burst at vèraison
S. Pilati,Michele Perazzolli,A. Malossini,Alessandro Cestaro,Lorenzo Dematte,Paolo Fontana,Antonio Dal Ri,Roberto Viola,Riccardo Velasco,Claudio Moser +9 more
TL;DR: The time-course gene expression analysis of grapevine berry development has identified the occurrence of two well distinct phases along the process, including a reprogramming stage of the cellular metabolism and the onset of a ripening-specialized metabolism responsible for the phenotypic traits of the ripe berry.
Journal ArticleDOI
GPU computing for systems biology
Lorenzo Dematte,Davide Prandi +1 more
TL;DR: This paper reviews some recent efforts in exploiting the processing power of GPUs for the simulation of biological systems and offers an emerging alternative, GPGPU, which offers the power of a small computer cluster at a cost of approximately $400.
Journal ArticleDOI
The Beta Workbench: a computational tool to study the dynamics of biological systems
TL;DR: The Beta Workbench is introduced, a scalable tool built on top of the newly defined BlenX language to model, simulate and analyse biological systems and a comparison with related approaches is provided.
Book ChapterDOI
The BlenX language: a tutorial
TL;DR: This tutorial exemplifies BlenX features on biology-related systems, intended for modelling any system whose basic step of computation is an interaction between sub-components.