Abstract
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 development 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.
Highlights
The volume of biological data sets is increasing exponentially since the last decade
The volume is increasing, the new types of data sets are being added on almost daily basis. This extra ordinary increment in biological data sets with numerous formats and data types has tremendously increased the complexity of information retrieval mechanism significantly for the biological scientists
For example in Biological databases, if a Bacterial or Archae genome is under observation it’s an elementary step to do Sequence Alignment of genomes to outline potential ‘gene’ regions
Summary
The volume of biological data sets is increasing exponentially since the last decade. The integration of multiple information sources, for a unified access with effective views and processing capabilities is certainly an important issue for the biological community. It has become a big challenge for the computational biology community to provide some easy to use and powerful tool for data integration, visualization and processing capabilities. In this paper a generalized framework is discussed which offers solution regarding data presentation, user interface, processing capabilities and issues regarding multiple database formats. AINAAN is discussed as a collaborative tool for network data sharing and as a visualization tool on presentation layer; IDGAAM is discussed under database integration tool with a query language for complex data processing with functional capabilities. This work extended the idea of an integrated environment for biological community which could not be achieved by only integrating the biological databases itself without incorporate powerful toolset for information retrieval and presentation
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