Search Results for "simulation model library"
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Showing 68 open source projects for "simulation model library"
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BioNeMo
BioNeMo Framework: For building and adapting AI models
BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications. -
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PhysiCell
physics-based multicellular simulator
PhysiCell is a cross-platform C++ framework for large, physics-based multicellular simulations. -
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NeuroML is an XML-based description language for defining and exchanging neuronal cell, network and modeling data including reconstructions of cell anatomy, membrane physiology, electrophysiological data, network connectivity, and model specification
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SimThyr
A simulation program for thyroid homeostasis.
SimThyr is a continuous simulation program for the human pituitary-thyroid feedback control system. Applications of this program cover research, including development of hypotheses, and education of students in biology and medicine, nurses and patients. -
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CyberUnits
Class library for computational cybernetics
CyberUnits is a cross-platform class library for rapid development of high-performance computer simulations in life sciences. It supports modelling for biomedical cybernetics and systems biology with Object Pascal. -
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The Systems Biology Format Converter (SBFC) is a Java generic framework aiming to translate any systems biology model format into another. The SBFC Web Site providing detailed feature description and instructions for installing, using and developing new modules is: http://sbfc.sourceforge.net/ . Currently, SBFC allows the user to convert SBML models into the formats: BioPax, Matlab, Octave, XPP, DOT, and SBGN. Due to its modular design fast development and addition of new converters...
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TASSEL
TASSEL is a bioinformatics software package
TASSEL is a bioinformatics software package that can analyze diversity for sequences, SNPs, or SSRs. Genotype/phenotype associations can be carried out by GLM or a mixed model. Estimates distance and linkage disequilibrium statistics. -
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GroIMP
Growth-grammar related Interactive Modelling Platform
Important: Groimp migrates to Gitlab. You can find the latest code at "https://gitlab.com/grogra/groimp/". The version on Sourceforge will not be updated anymore. The modelling platform GroIMP is designed as an integrated platform which incorporates modelling, visualisation and interaction. It exhibits several features which makes itself suitable for the field of biological or ALife modelling: The “modelling backbone” consists in the language XL. It is fully integrated, e.g., the... -
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This project hosts a library and tools for sharing simulation experiments encoded using SED-ML.
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Antimony
Antimony is a human-readable, human-writable model definition language
Antimony is a human-readable, human-writable model definition language. libAntimony is a library that will read and write Antimony and SBML files and provides an API for other programs to import Antimony models into their own internal formats. -
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CBMPy
PySCeS Constraint Based Modelling
...CBMPy implements popular analyses such as FBA, FVA, element/charge balancing, network analysis and model editing as well as advanced methods developed for the ecosystem modelling. CBMPy supports user interaction via: - interactive console or as a library for advanced use - GUI, visual representation of the model, analysis methods - a SOAP based webAPI exposes high level functionality via web services -
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gsasnp2
PubMed ID: 29562348 / DOI: 10.1093/nar/gky175
* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data... -
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BEMoDA
Dissolution profile comparison Model Dependent-Independent Approach
Dissolution profile comparison (Biowaiver aid) Model Dependent-Independent Approach scripts for in-vitro dissolution profile comparison as proposed by Sathe et al. in 1996 (Sathe PM, Tsong Y, Shah VP. In-vitro dissolution profile comparison: statistics and analysis, model dependent approach. Pharm Res. 1996 Dec;13(12):1799-803) and Tsong et al. in 1996 (Tsong Y, Hammerstrom T, Sathe P, Shah VP. (1996) Statistical Assessment of Mean Differences between Two Dissolution Data Sets, Drug Info. J.... -
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This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.
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A Java library to facilitate SED-ML support for systems biology applications to read, validate, edit, and write SED-ML documents in compliance with MIASE guidelines. Also contains modules to execute simulation tasks and produce outputs. This project also contains the SED-ED editor application for SED-ML.
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RoadRunner represents a state-of-the-art simulation library for SBML models. It is fast, portable and accurate. This projects hosts the library and tools using the library.
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GenCodeGenerator
C++ class to generate biologically plausible genetic codes
The "GeneticCode" C++ class is designed to generate versions of the genetic code subject to the requirements of the three major models of the genetic code origin and evolution (about these models see, e.g., Koonin & Novozhilov, 2009, IUBMB Life). This class was written specifically to perform statistical test for the paper Makukov & shCherbak (2017), but it might be used for a wider class of studies related to the genetic code. By default, the class "GeneticCode" generates... -
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pybrn is a Python package for the analysis of biochemical reaction networks. It provides basic model handling capabilities, import from SBML, analysis of conservation relations, steady state computation and model simulation.
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runjags
The 'runjags' R package and standalone JAGS extension module
This package provides high-level interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A... -
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Systems Biology Simulation Core Library
Accurate and efficient Java library that simulates biological models
This project has been moved to https://github.com/draeger-lab/SBSCL. -
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Limpopo is a library for MAGE-TAB parsing and validation that will read mage-tab files into an object model, and includes a plugin mechanism that is open and extensible for writing MAGE-TAB data to other data resources such as a database.
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Moose
Multiscale Neuroscience and Systems Biology Simulator
Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code. -
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SFS_CODE (Selection on Finite Sites under COmplex Demographic Events) performs forward population genetic simulations under a general Wright-Fisher model with arbitrary demographic, selective, and mutational effects.
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The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
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StochPy - Stochastistic modeling in Python - is an easy-to-use package, which provides several stochastic simulation algorithms and unique analysis techniques, which can be used for stochastic simulations of biochemical systems.
