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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: Simple sequence repeats (SSRs) or microsatellites are an important class of molecular markers for genome analysis and plant breeding applications. In this paper, the SSR distributions within ESTs from the legumes soybean (Glycine max, representing 135.86 Mb), medicago (Medicago truncatula, 121.1 Mb) and lotus (Lotus japonicus, 45.4 Mb) have been studied relative to the distributions in cereals such as sorghum (Sorghum bicolor, 98.9 Mb), rice (Oryza sativa, 143.9 Mb) and maize (Zea mays, 183.7 Mb).…The relative abundance, density, composition and putative annotations of di-, tri-, tetra- and penta-nucleotide repeats have been compared and SSR containing ESTs (SSR-ESTs) have been clustered to give a non-redundant set of EST-SSRs, available in a database. Further, a subset of such candidate EST-SSRs from sorghum have been tested for their ability to detect polymorphism between Striga-susceptible, stay-green drought tolerant mapping population parent 'E 36-1' and its Striga-resistant, non-stay-green counterpart 'N13'. Primer sets for 64% of the EST-SSRs tested produced a clear and specific PCR product band and 34% of these detected scorable polymorphism between the N13 and E 36-1 parental lines. Over half of these markers have been genotyped on 94 RILs from the (N13 × E 36-1)-based mapping population, with 42 markers mapping onto the ten sorghum linkage groups. This establishes the value of this database as a resource of molecular markers for practical applications in cereal and legume genetics and breeding. The primer pairs for non-redundant EST-SSRs have been designed and are freely available through the database (http://intranet.icrisat.org/gt1/ssr/ssrdatabase.html).
Keywords: EST-SSRs, microsatellite markers, conserved orthologous sets, tri-nucleotide repeats, class I repeats, class II repeats, cereals and legumes
Abstract: Scientific visualization is a key technology to enhance our understanding of huge masses of omics data, especially for cell-wide, high-throughput measurements of the physiological networks. We have developed a web application that visualizes complex omics data of multiple layers simultaneously, including transcriptome, proteome, and metabolome, onto an integrated pathway diagram derived by connecting the individual KEGG pathway maps; the mapped images are generated in Scalable Vector Graphics for easy editing by hand…or with computer programs or drawing software. The web application is available at http://megu.iab.keio.ac.jp/.