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ISSN 1386-6338 (P)
ISSN 1434-3207 (E)
In Silico Biology is a scientific research journal for the advancement of computational models and simulations applied to complex biological phenomena. We publish peer-reviewed leading-edge biological, biomedical and biotechnological research in which computer-based (i.e.,
) modeling and analysis tools are developed and utilized to predict and elucidate dynamics of biological systems, their design and control, and their evolution. Experimental support may also be provided to support the computational analyses.
In Silico Biology aims to advance the knowledge of the principles of organization of living systems. We strive to provide computational frameworks for understanding how observable biological properties arise from complex systems. In particular, we seek for integrative formalisms to decipher cross-talks underlying systems level properties, ultimate aim of multi-scale models.
Studies published in
In Silico Biology generally use theoretical models and computational analysis to gain quantitative insights into regulatory processes and networks, cell physiology and morphology, tissue dynamics and organ systems. Special areas of interest include signal transduction and information processing, gene expression and gene regulatory networks, metabolism, proliferation, differentiation and morphogenesis, among others, and the use of multi-scale modeling to connect molecular and cellular systems to the level of organisms and populations.
In Silico Biology also publishes foundational research in which novel algorithms are developed to facilitate modeling and simulations. Such research must demonstrate application to a concrete biological problem.
In Silico Biology frequently publishes special issues on seminal topics and trends. Special issues are handled by Special Issue Editors appointed by the Editor-in-Chief. Proposals for special issues should be sent to the Editor-in-Chief.
About In Silico Biology
is a pendant to
(in the living system) and
(in the test tube) biological experiments, and implies the gain of insights by computer-based simulations and model analyses.
In Silico Biology (ISB) was founded in 1998 as a purely online journal. IOS Press became the publisher of the printed journal shortly after. Today, ISB is dedicated exclusively to biological systems modeling and multi-scale simulations and is published solely by IOS Press. The previous online publisher, Bioinformation Systems, maintains a website containing studies published between 1998 and 2010 for archival purposes.
We strongly support open communications and encourage researchers to share results and preliminary data with the community. Therefore, results and preliminary data made public through conference presentations, conference proceeding or posting of unrefereed manuscripts on preprint servers will not prohibit publication in ISB. However, authors are required to modify a preprint to include the journal reference (including DOI), and a link to the published article on the ISB website upon publication.
Abstract: We have developed an online generic tool for simulation of fingerprinting techniques based on the double endonuclease digestion of DNA. This tool allows modelling and modifications of already existing techniques, as well as new theoretical approaches not yet tried in the lab. It allows the use of any combination of recognition patterns and discrimination of end types yielded by restriction with non palindromic recognition sizes. Re-creation of experimental conditions in silico saves time and reduces laboratory…costs. This tool allows simulation of Amplified Fragment Length Polymorphism (AFLP-PCR), Subtracted Restriction Fingerprinting (SRF), and additional novel fingerprinting techniques. Simulation may be performed against custom sequences uploaded to the server, or against all sequenced bacterial genomes. Different endonuclease types may be selected from a list, or a recognition sequence may be introduced in the form. After double digestion of DNA, four fragment types are yielded, and the program allows their customised selection. Selective nucleotides may be used in the experiment. Scripts for specific simulation of AFLP-PCR and SRF techniques are available, and both include a suggestion tool for the selection of endonucleases. This is the first program available for the simulation of SRF fingerprinting.
Keywords: restriction digest, double digest, AFLP-PCR, Subtracted Restriction Fingerprinting (SRF), data mining, in silico analysis, genotyping, endonuclease, bacterial genomes