Pawan Dhar

Summary

Affiliation: Bioinformatics Institute
Country: Singapore

Publications

  1. ncbi The cell equator - more than poles apart
    Pawan Dhar
    Systems Biology Group, Bioinformatics Institute, Matrix, 138671, Singapore
    Trends Biotechnol 22:103-4. 2004
  2. ncbi Grid cellware: the first grid-enabled tool for modelling and simulating cellular processes
    Pawan K Dhar
    Systems Biology Group, Bioinformatics Institute, 30 Biopolis Street, 07 01, Matrix, Singapore 138671
    Bioinformatics 21:1284-7. 2005
  3. ncbi Cellware--a multi-algorithmic software for computational systems biology
    Pawan Dhar
    Systems Biology Group, Bioinformatics Institute, 30 Biopolis Street, No 07 01 Matrix Building, Singapore 138671
    Bioinformatics 20:1319-21. 2004
  4. ncbi Cellular automata with object-oriented features for parallel molecular network modeling
    Hao Zhu
    Systems Biology Group, Bioinformatics Institute, Singapore
    IEEE Trans Nanobioscience 4:141-8. 2005
  5. ncbi Facilitating arrhythmia simulation: the method of quantitative cellular automata modeling and parallel running
    Hao Zhu
    Systems Biology Group, Bioinformatics Institute, Biopolis Street, 138671, Singapore
    Biomed Eng Online 3:29. 2004
  6. ncbi Asynchronous adaptive time step in quantitative cellular automata modeling
    Hao Zhu
    Bioinformatics Institute, National University of Singapore, 138671
    BMC Bioinformatics 5:85. 2004
  7. ncbi The next step in systems biology: simulating the temporospatial dynamics of molecular network
    Hao Zhu
    Bioinformatics Institute of Singapore, Singapore
    Bioessays 26:68-72. 2004
  8. ncbi Modeling and simulation of biological systems with stochasticity
    Tan Chee Meng
    Bioinformatics Institute Singapore
    In Silico Biol 4:293-309. 2004

Detail Information

Publications8

  1. ncbi The cell equator - more than poles apart
    Pawan Dhar
    Systems Biology Group, Bioinformatics Institute, Matrix, 138671, Singapore
    Trends Biotechnol 22:103-4. 2004
    ..However, a new understanding has recently emerged that uncouples these events. The cell-furrow formation seems to ignore spindle polarity and is instead dependent on the stability and dynamics of cortical microtubules...
  2. ncbi Grid cellware: the first grid-enabled tool for modelling and simulating cellular processes
    Pawan K Dhar
    Systems Biology Group, Bioinformatics Institute, 30 Biopolis Street, 07 01, Matrix, Singapore 138671
    Bioinformatics 21:1284-7. 2005
    ..Grid Cellware implements various pathway simulation algorithms along with adaptive Swarm algorithm for parameter estimation. For enchanced computational productivity Grid Cellware uses grid technology with Globus as the middleware...
  3. ncbi Cellware--a multi-algorithmic software for computational systems biology
    Pawan Dhar
    Systems Biology Group, Bioinformatics Institute, 30 Biopolis Street, No 07 01 Matrix Building, Singapore 138671
    Bioinformatics 20:1319-21. 2004
    ..AVAILABILITY: The software is available for free and can be downloaded from http://www.bii.a-star.edu.sg/sbg/cellware..
  4. ncbi Cellular automata with object-oriented features for parallel molecular network modeling
    Hao Zhu
    Systems Biology Group, Bioinformatics Institute, Singapore
    IEEE Trans Nanobioscience 4:141-8. 2005
    ..Index Terms-Cellular automata, modeling, molecular network, object-oriented...
  5. ncbi Facilitating arrhythmia simulation: the method of quantitative cellular automata modeling and parallel running
    Hao Zhu
    Systems Biology Group, Bioinformatics Institute, Biopolis Street, 138671, Singapore
    Biomed Eng Online 3:29. 2004
    ....
  6. ncbi Asynchronous adaptive time step in quantitative cellular automata modeling
    Hao Zhu
    Bioinformatics Institute, National University of Singapore, 138671
    BMC Bioinformatics 5:85. 2004
    ....
  7. ncbi The next step in systems biology: simulating the temporospatial dynamics of molecular network
    Hao Zhu
    Bioinformatics Institute of Singapore, Singapore
    Bioessays 26:68-72. 2004
    ..The aim of this paper is to present a brief and informative, but not all-inclusive, viewpoint on the computational aspects of modeling and simulation of a non-static molecular network...
  8. ncbi Modeling and simulation of biological systems with stochasticity
    Tan Chee Meng
    Bioinformatics Institute Singapore
    In Silico Biol 4:293-309. 2004
    ..This paper offers an overview of various mathematical and computational approaches for modeling stochastic phenomena in cellular systems...