A Generalized Framework for Biological Data Integration, Processing and Visualization

Rauf Ahmed Shams Malick Muhammad Ussama
<span title="">2013</span> <i title="OMICS Publishing Group"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3vq4nfyo65gndle6y4jboqa4oy" style="color: black;">Journal of Information Technology &amp; Software Engineering</a> </i> &nbsp;
Massive amount of present biological datasets and their current rate of expansion demand effective ways of data storage, processing and presentation. The ever increasing nature of biological data sets has tremendously increased the complexity in data integration and presentation processes. This paper presents an experience of a unified framework development which combines complex input module with massive processing methods in a collaborative visualization environment. Our experience of the
more &raquo; ... lopment of IDGAAM framework is presented in this paper along with functional details of AINAAN application. AINAAN is being used for collaborative environment for data sharing and more specifically for visualization purpose. The present study is an effort towards seamless integration of heterogeneous data bases with a complexity of analysis and varieties in its presentation formats.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4172/2165-7866.1000115">doi:10.4172/2165-7866.1000115</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/elo63adugza7zmwaoqkuii52ia">fatcat:elo63adugza7zmwaoqkuii52ia</a> </span>
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