alexa Software Engineering Online Journals| OMICS International | Journal Of Information Technology And Software Engineering

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

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Software engineering online journals are scholarly and peer reviewed journals. The journals provide forum and motivates scientists, researchers, academics, engineers, and practitioners in all aspects to share their professional and academic knowledge in the fields computing, engineering, humanities, economics, social sciences, management, medical science, and related disciplines. Online Journals also aims to reach a large number of readers worldwide with original and current research work completed on the vital issues of the above important disciplines. The journals permit all readers to read, view, download and print the full-text of all published articles without any subscription or restrictions.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. The volume of biological data sets is increasing exponentially since the last decade. Not only, the volume is increasing, also 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. Integration of multiple biological databases provides seamless access to all of the databases which simplifies the complex biological analysis.
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Last date updated on June, 2014

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