scholarly journals Web-based applications for building, managing and analysing kinetic models of biological systems

2008 ◽  
Vol 10 (1) ◽  
pp. 65-74 ◽  
Author(s):  
D.-Y. Lee ◽  
R. Saha ◽  
F. N. K. Yusufi ◽  
W. Park ◽  
I. A. Karimi
1993 ◽  
Vol 43 (3-4) ◽  
pp. 145-154
Author(s):  
P. Sen ◽  
R. Bartoszynski

Kinetic models are commonly used in modeling biological systems. The paper starts with a kinetic model which it converts into a stochastic model, and describes a technique to calculate the variance of the random variable which describes the system. This method of calculation gives an alternative to Ito calculus.


2017 ◽  
Vol 12 (4) ◽  
Author(s):  
Muhammad Akmal Remli ◽  
Mohd Saberi Mohamad ◽  
Safaai Deris ◽  
Suhaimi Napis ◽  
Richard Sinnott ◽  
...  

2008 ◽  
Vol 45 ◽  
pp. 223-236 ◽  
Author(s):  
Carel van Gend ◽  
Jacky L. Snoep

Systems biology aims at a quantitative understanding of systemic behaviour as a function of its components and their interactions. In systems biology studies computer models play an important role: (i) to integrate the components’ behaviour and (ii) to analyse experimental data sets. With the growing number of kinetic models that are being constructed for parts of biological systems, it has become important to store these models and make them available in a standard form, such that these models can be combined, eventually leading to a model of a complete system. In the present chapter we describe database initiatives that contain kinetic models for biological systems, together with a number of other systems biology resources related to kinetic modelling.


2012 ◽  
Vol 6 (1) ◽  
pp. 25 ◽  
Author(s):  
Mikołaj Rybiński ◽  
Michał Lula ◽  
Paweł Banasik ◽  
Sławomir Lasota ◽  
Anna Gambin

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Johanna Zoppi ◽  
Jean-François Guillaume ◽  
Michel Neunlist ◽  
Samuel Chaffron

Abstract Background Multi-omics experimental approaches are becoming common practice in biological and medical sciences underlining the need to design new integrative techniques and applications to enable the multi-scale characterization of biological systems. The integrative analysis of heterogeneous datasets generally allows to acquire additional insights and generate novel hypotheses about a given biological system. However, it can become challenging given the often-large size of omics datasets and the diversity of existing techniques. Moreover, visualization tools for interpretation are usually non-accessible to biologists without programming skills. Results Here, we present MiBiOmics, a web-based and standalone application that facilitates multi-omics data visualization, exploration, integration, and analysis by providing easy access to dedicated and interactive protocols. It implements classical ordination techniques and the inference of omics-based (multilayer) networks to mine complex biological systems, and identify robust biomarkers linked to specific contextual parameters or biological states. Conclusions MiBiOmics provides easy-access to exploratory ordination techniques and to a network-based approach for integrative multi-omics analyses through an intuitive and interactive interface. MiBiOmics is currently available as a Shiny app at https://shiny-bird.univ-nantes.fr/app/Mibiomics and as a standalone application at https://gitlab.univ-nantes.fr/combi-ls2n/mibiomics.


Author(s):  
Vasundra Touré ◽  
John Zobolas ◽  
Martin Kuiper ◽  
Steven Vercruysse

Molecular causal interactions are defined as regulatory connections between biological components. They are commonly retrieved from biological experiments, and can be used for connecting biological molecules into regulatory computational models that represent biological systems. However, including a molecular causal interaction into a model requires assessing its relevance to that model, based on detailed knowledge about the biomolecules, interaction type, and biological context. In order to standardize the representation of this knowledge in ‘causal statements’, we recently developed the MI2CAST guidelines. Here we introduce causalBuilder: an intuitive web-based curation interface for the annotation of molecular causal interactions that comply with the MI2CAST standard. The causalBuilder prototype essentially embeds the MI2CAST curation guidelines in its interface, and makes its rules easy to follow by a curator. In addition, causalBuilder serves as an original application of the VSM general-purpose curation technology, and provides both curators and tool developers with an interface that can be fully configured to allow focusing on selected MI2CAST concepts to annotate. After information is entered, the causalBuilder prototype produces genuine causal statements that can be exported in different formats.


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