Skip to main content

Important softwares in modelling and simulation

 

BioSPICE Dashboard

Bio-SPICE, an open source framework and software toolset for Systems Biology, is intended to assist biological researchers in the modeling and simulation of spatio-temporal processes in living cells. In addition, our goal is to develop and serve a user community committed to using, extending and exploiting these tools to further our knowledge of biological processes.



 





BioUML

BioUML is Java framework for systems biology. It spans the comprehensive range of capabilities including access to databases with experimental data, tools for formalized description of biological systems structure and functioning, as well as tools for their visualization and simulations.

 





CADLIVE

CADLIVE is a system for constructing large-scale biological networks (metabolic and gene regulatory networks) using GUI (Graphic User Interface) and saving them as regulator reaction equations in a database in the format compatible to a simulator. It has been developed by H. Kurata at the Kyushu Institute of Technology together with staffs at Mitsui Knowledge Industry Co., Ltd.

PROTON

PROTON is an Integrative Modeling System (IMS). It has been initiated by the project MARG sponsored by the German Research Council (DFG). The purpose of the system is to support the modeling of large-scale systems by using integrative methods.




Simpathica

Simpathica is a set of tools capable of simulating and analyzing biological pathways. It consists of a front end and a back end. The front end is a pathway editor which generates a set of Ordinary Differential Equations, which are in turn simulated using Octave. The back end, also known as XSSYS, is a temporal logic analysis tool which can answer queries about the time course behavior of a set of pathways. Developed by NYU Courant Institute of Mathematical Sciences.

StochSim

StochSim is a stochastic simultor for biological processes. StochSim was written by Carl Firth (formerly Carl Morton-Firth)

Aipotu 

         It is a BioQUEST software simulation that integrates genetics, biochemistry, molecular       biology, and evolution to study a biological phenomenon. It is designed to show students the connections between these three key disciplines of modern molecular genetics. It is based on "Botstein's Triangle"; (Science 240:1439 (1988)) shown below:





That is:
  • Life can be explained in terms of The Individual Functions of Living Things.
  • Genetics explains The Individual Functions of Living Things in terms of Genes.
  • Biochemistry explains The Individual Functions of Living Things in terms of Proteins.
  • Molecular Biology connects Genetics and Biochemistry by explaining how Genes encode Proteins.
  • Evolution provides a context that explains how these features changed over time to become what they are.




The phenomenon under study - the Individual function of this living thing - is the color of a simulated flower (see below).
You are provided with a starting set of flowers in the Greenhouse; these organisms are saved as organism files, each of which contains two DNA sequences. These organisms are loaded into the Greenhouse when the program starts.




Comments

Popular posts from this blog

Information Retreival Systems in Bioinformatics: Entrez

Currently many biological databases have been developed and became an important toolbox for every scientist in research and academic purpose. Searching a sequence homologue of either Protein, DNA or to know the novelty of a sequence, one needs to do a sequence search against available databases. Similarly, searching for Open Reading Frame, structure, functional, regulatory sequences and repeated elements, we also need to search our query against different available databases. As biological data is increasing with the passage of time, its tremendous growth requires a searching and access system to retrieve useful information. In biological data, three retrieval systems are widely used relevant to a scientific need, it includes: Entrez, Sequence Retrieval System also known as SRS and DBGET. These retrieval systems let its user a text search against multiple molecular databases and also provides useful relevant information in the forms of links either internal or external to our qu...

Genetic algorithm and its applications in medicine

With the increase in biological and medical data it has become necessary for medical and bioinformaticians to have some automated approaches to identify different patterns it their data, so as to predict or have some useful information. Many applications have been described above for genetic algorithm, along with these applications GA has been applied in protein structure prediction, RNA structure prediction and Motif finding. Basic steps of GA are almost same in many applications but it requires expertise, parameters and involves a huge number of randomness and can provide different results in outcomes.      Applications of Genetic Algorithm in medicine Oncology Screening tests suggests a valuable chance cancer detection at early stages, which when keep an eye on by proper handling could recover the patient’s survival rate. Developing a non-invasive procedure for the detection of cervical cancer, Duraipandian et al, using colposcopy developed Raman spectra ...

Information Retreival System: Implementation

NCBI provides an information retrieval system, Entrez, designed to provide user friendly access to biomedical data including structural, molecular, sequences and literature.   Entrez provides access and searching facilities to more than 30 databases of genome, health, structural, literature, sequence and chemical. It provides faecet, limited and advance searching option with Boolean operators to customize user’s query. It also facilitates querying with wild card characters, mapping and controlled vocabulary. Web implementation of Entrez has more valuable applications and benefits over Network Entrez as it facilitates searching with a tremendous amount of data in different databases. Entrez provides navigational links between different databases either provided by NCBI or external (journal/databases) for each record by using two types of relationships: neighbors and hard links. Both of these types of relationships have been found on the basis of controlled vocabulary and algor...