Tommaso Mazza

Summary

Publications

  1. ncbi Snazer: the simulations and networks analyzer
    Tommaso Mazza
    The Microsoft Research University of Trento, CoSBi, Trento, Italy
    BMC Syst Biol 4:1. 2010
  2. ncbi Estimating the divisibility of complex biological networks by sparseness indices
    Tommaso Mazza
    The Microsoft Research, University of Trento Centre for Computational and Systems Biology, Piazza Manci 17, 38123 Povo, Trento, Italy
    Brief Bioinform 11:364-74. 2010
  3. ncbi Taming the complexity of biological pathways through parallel computing
    Paolo Ballarini
    The Microsoft Research University of Trento Centre for Computational and Systems Biology, Piazza Manci 17 38100 Povo, Trento, Italy
    Brief Bioinform 10:278-88. 2009

Detail Information

Publications3

  1. ncbi Snazer: the simulations and networks analyzer
    Tommaso Mazza
    The Microsoft Research University of Trento, CoSBi, Trento, Italy
    BMC Syst Biol 4:1. 2010
    ..A tool which both graphically manipulates reactive models and deals with sets of simulation time-course data by aggregation, interpretation and statistical analysis is missing and could add value to simulators...
  2. ncbi Estimating the divisibility of complex biological networks by sparseness indices
    Tommaso Mazza
    The Microsoft Research, University of Trento Centre for Computational and Systems Biology, Piazza Manci 17, 38123 Povo, Trento, Italy
    Brief Bioinform 11:364-74. 2010
    ..As particular topological indices provide either local or global quantification of network structure, they can help in identifying locally dense, but globally sparsely connected subgraphs...
  3. ncbi Taming the complexity of biological pathways through parallel computing
    Paolo Ballarini
    The Microsoft Research University of Trento Centre for Computational and Systems Biology, Piazza Manci 17 38100 Povo, Trento, Italy
    Brief Bioinform 10:278-88. 2009
    ..In this article, we present a survey on the progresses of such parallelisation efforts describing the most promising results so far obtained...