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99 ReIN: an interactive tool to create and visualize regulatory networks in Arabidopsis thaliana<br />

Saranyan Palaniswamy, Sarat Subramaniam, Rebecca Lamb, Ramana Davuluri, Erich Grotewold<br />

The Ohio State University<br />

ReIN is a web-based software tool for creating, visualizing and identifying regulatory networks in Arabidopsis<br />

thaliana. Regulatory motifs represent the simplest units of the overall regulatory network of an organism. A simple<br />

graphical interface tool like ReIN will facilitate biologists a fast and easy way to visualize networks of interactions in<br />

Arabidopsis <strong>with</strong> the potential to be extended to other organisms. The identification of the direct targets for TFs is a first<br />

step in establishing the regulatory motifs in which particular TFs are involved. Arabidopsis is a small dicotyledoneous<br />

plant for which the entire genome is available. The Arabidopsis Gene Regulatory Information Server (AGRIS, http://<br />

arabidopsis.med.ohio-state.edu) provides a comprehensive collection of all known Arabidopsis TFs, the promoters, and<br />

known and predicted interactions between the TFs and the corresponding promoters. For a complete understanding of<br />

the intricate behavior of these gene regulatory networks, the development of web-based computational tools becomes<br />

essential (Blais and Dynlacht, 2005). The visualization of a network of regulatory interactions between different TFs<br />

and genes consists of translating interaction data into 2D images where different participants in the regulatory chain are<br />

represented by different geometric entities. The visualization process may therefore be divided into three steps or models:<br />

extracting information from a database consisting of TF or gene interactions; mapping these data into various geometrical<br />

shapes and arrows, representing the interactions; and finally, laying out and drawing these shapes while providing the<br />

user ability to control and interact <strong>with</strong> the drawn network in various ways. ReIN is a web-based application <strong>with</strong> a multitier<br />

architecture based on J2EE technology. The application is available to the user as a Java applet embedded in JSP<br />

which provides the user the ability to search for TFs or genes in the Arabidopsis thaliana Regulatory Network Database<br />

(AtRegNet). ReIN uses java servlets to retrieve information and allows the user to upload input (network) data as a file<br />

and download the network visualization as an image. This process allows a large number of users to simultaneously<br />

interact <strong>with</strong> the database <strong>with</strong>out a noticeable impact on performance http://arabidopsis.med.ohio-state.edu/REIN.<br />

100 ARGOS, a simple and one-step SSR finder for supporting molecular marker development in<br />

plant researches<br />

Kyu-Won Kim 1 , Jae-Woong Yu 2 , Hun-Ki Chung 3 , Kyung-Ho Ma 3 , Tae-San Kim 3 , V. Ramanatha Rao 4 , Yong-Jin Park 4<br />

1<br />

Qube Soft Inc., 2 Seoul National University, Seoul, R. Korea, 3 National Institute of Agricultural Biotechnology,<br />

Suwon, R. Korea, 4 International Plant Genetic Resources Institute (IPGRI-APO), Serdang, Malaysia<br />

SSR marker system technology is useful for comparing genetic characteristic of subspecies and finding markers related<br />

to phenotypes of economic importance and mapping genes through construction of linkage map. Since computer power<br />

can help searching simple sequence repeats (SSRs) quickly in the sequence data read from the mass DNA fragments, there<br />

are many algorithms developed for helping that. But it is very complicated to modify output results obtained from one<br />

program to input format of another program. This situation would be more serious when handling many clone sequences,<br />

at a time and this is very hard work to manage mass data read from DNA fragment sequences and their data output after<br />

analysis. Therefore, I developed one step computer program for rapid identification of simple sequence repeats and<br />

primer design which is coded <strong>with</strong> C# and Microsoft Visual Studio.NET. Distant parser sorts the SSR motifs from local<br />

N repeat parser and merges neighboring SSRs to same motif for primer design. We compared this program <strong>with</strong> 4 other<br />

SSR finding programs (Mreps, SSRIT, Sputnik, Troll) <strong>with</strong> 320 clone sequences of 8 different plant species. We found<br />

increased accuracy and outstanding outputs of this program, compared <strong>with</strong> other currently used programs.<br />

This research was conducted through IPGRI and RDA (Rural Development Administration, R. Korea) collaboration, supported by BioGreen 21<br />

Program.

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