MDI-GPU 1.0.1 – Accelerating integrative modelling for Genomic-scale data using GP-GPU Computing

MDI-GPU 1.0.1

:: DESCRIPTION

MDI-GPU is an improved implementation of a Bayesian correlated clustering algorithm, that permits integrated clustering to be routinely performed across multiple datasets, each with tens of thousands of items.

::DEVELOPER

Warwick Systems Biology Centre

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 MDI-GPU

:: MORE INFORMATION

Citation

MDI-GPU: accelerating integrative modelling for genomic-scale data using GP-GPU computing.
Mason SA, Sayyid F, Kirk PD, Starr C, Wild DL.
Stat Appl Genet Mol Biol. 2016 Mar 1;15(1):83-6. doi: 10.1515/sagmb-2015-0055.

Memoir – Membrane Protein Modelling Pipeline

Memoir

:: DESCRIPTION

Memoir (MEMbrane prOteIn modelleR) is a homology modelling algorithm designed for membrane proteins. The inputs are the sequence which is to be modelled, and the 3D structure of a template membrane protein.

::DEVELOPER

Oxford Protein Informatics Group (OPIG)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Nucleic Acids Res. 2013 Jul;41(Web Server issue):W379-83. doi: 10.1093/nar/gkt331. Epub 2013 May 2.
Memoir: template-based structure prediction for membrane proteins.
Ebejer JP1, Hill JR, Kelm S, Shi J, Deane CM.

SRSim 2.0.8 – Rule Based Modelling in 3d Space

SRSim 2.0.8

:: DESCRIPTION

SRSim is constructed from the molecular dynamics simulator LAMMPS and a set of extensions for modeling rule-based reaction systems. The aim of this software is coping with reaction networks that are combinatorially complex as well as spatially inhomogeneous. On the one hand, there is a combinatorial explosion of necessary species and reactions that occurs when complex biomolecules are allowed to interact, e.g. by polymerization or phosphorilation processes. On the other hand, diusion over longer distances in the cell as well as the geometric structures of sophisticated macromolecules can further in uence the dynamic behavior of a system. Addressing the mentioned demands, the SRSim simulation system features a stochastic, particle based, spatial simulation of Brownian Dynamics in three dimensions of a rule-based reaction system.

::DEVELOPER

Gerd Grünert @ Bio Systems Analysis

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

SRSim

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2010 Jun 7;11:307. doi: 10.1186/1471-2105-11-307.
Rule-based spatial modeling with diffusing, geometrically constrained molecules.
Gruenert G1, Ibrahim B, Lenser T, Lohel M, Hinze T, Dittrich P.

FLAME – Flexible Large-scale Agent Modelling Environment

FLAME

:: DESCRIPTION

FLAME is a generic agent-based modelling system which can be used to development applications in many areas.

::DEVELOPER

FLAME Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/Windows/MacOsX

:: DOWNLOAD

 FLAME

:: MORE INFORMATION

Citation

Brief Bioinform. 2010 May;11(3):334-47. doi: 10.1093/bib/bbp073. Epub 2010 Feb 1.
High performance cellular level agent-based simulation with FLAME for the GPU.
Richmond P, Walker D, Coakley S, Romano D.

MassXpert 3.4.0 – Polymer Chemistry Modelling & Simulation/Analysis of Mass Spectrometric Data

MassXpert 3.4.0

:: DESCRIPTION

massXpert is a cross-platform software environment for polymer chemistry modelling and simulation/analysis of mass spectrometric data.The massXpert project aims at providing (bio)chemists with a software package allowing the following:

  • User-specific atom definitions and polymer chemistry definitions;
  • Powerful sequence editing with user-definied glyphs for each monomer and monomer chemical modification;
  • Polymer sequence chemical/enzymatic cleavage;
  • Gas-phase fragmentation of oligomers;
  • Mass-to-charge ratio calculations with inline change of ionization agent.

::DEVELOPER

Filippo Rusconi

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Mac /  Linux

:: DOWNLOAD

MassXpert

:: MORE INFORMATION

Citation:

Rusconi, F. (2009)
massXpert 2: a cross-platform software environment for polymer chemistry modelling and simulation/analysis of mass spectrometric data,
Bioinformatics, 2009, 25:2741-2742, doi:10.1093/bioinformatics/btp504.

Bio-PEPA Workbench 1.0 – Bench of Language for the Modelling & the Analysis of Biochemical Networks

Bio-PEPA Workbench 1.0

:: DESCRIPTION

Bio-PEPA is a language for the modelling and the analysis of biochemical networks.It is based on PEPA, a process algebra originally defined for the performance analysis of computer systems, and extends it in order to handle some features of biochemical networks, such as stoichiometry and different kinds of kinetic laws. A main feature of Bio-PEPA is the possibility to support different kinds of analysis, including stochastic simulation, analysis based on ordinary differential equations (ODEs) and model checking in PRISM.

Bio-PEPA Workbench is an implementation of Bio-PEPA which allows modellers to write models in the Bio-PEPA language and to animate them using stochastic simulation.

::DEVELOPER

Stephen Gilmore , The Centre for Systems Biology at Edinburgh

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

Bio-PEPA Workbench

:: MORE INFORMATION

Citation

F. Ciocchetta and J. Hillston.
Bio-PEPA: a Framework for the Modelling and Analysis of Biochemical Networks.
Theoretical Computer Science 410 (33-34), pp. 3065-3084, 2009.

BCT 4.4 – Bacterial Chemotaxis Modelling & Simulator

BCT 4.4

:: DESCRIPTION

BCT is a text-based, deterministic simulator of the chemotaxis signal transduction pathway in E. coli. The BCT (bacterial chemotaxis) model is built from units representing the molecular components in the pathway, almost all of which can be assigned experimentally determined intracellular concentrations and enzymatic rate or binding constants.

::DEVELOPER

Bray Group: Computer Models of Bacterial Chemotaxis

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Mac

:: DOWNLOAD

BCT

:: MORE INFORMATION

N/A

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