GRISSOM web based grid portal: Exploiting the power of grid infrastructure for the interpretation and storage of DNA microarray experiments

Chatziioannou, Aristotelis; Moulos, Panagiotis; Pilalis, Eleftherios; Kolisis, Fragiskos N.; Kanaris, Ioannis; Doukas, Charalampos

doi:10.1109/itab.2009.5394410

Cited by 3 publications

(1 citation statement)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…LONETSSOM [12] is a versatile web application, capable of providing experts in the fields of molecular biology and medicine with a powerful, rapid and standardized computational pipeline, able to accommodate various types of DNA microarray technologies.…”

Section: Introductionmentioning

confidence: 99%

LONETSSOM Platform: Enabling Distributed Processing, Managing and Mining of Biological Data through Fusion of Logical Network and Web Technologies in NETWORK Infrastructure

KannaiyaRaja¹,

Arulandam²,

Senthamaraiselvan³

et al. 2012

IJCA

View full text Add to dashboard Cite

The accurate computation of conventional methods have not relied in the revolutionary period of changes and cannot make reshaping in the biological research as the meta-mining was used for integration of data which is not compatibility for biological research. Therefore we have reshaped the conventional method using Logical Network for effective transcriptomic technology for translation. In this paper, the advanced technology of knowledge mining which have an unprecedented wealth of quantity of data have been sruitnished and we present lonet for in silico systems biology and medicine (LONETSSOM), and a web based application that exploits logical management systems and distributed data processing system are highly used for DNA microarray through a genetic consistent, computational analysis framework. The advanced framework of logical network system is LONETSSOM which perform efficient versatile annotation system and integrative analysis through multi-application programming interface delivered in the SOA. The LONETSSOM aims to setup a generic paradigm of efficient knowledge mining that promotes throughput in translation of biomedicine field through the fusion of logical network and creation of semantic web technologies.

show abstract

Section: Introductionmentioning

confidence: 99%

LONETSSOM Platform: Enabling Distributed Processing, Managing and Mining of Biological Data through Fusion of Logical Network and Web Technologies in NETWORK Infrastructure

KannaiyaRaja¹,

Arulandam²,

Senthamaraiselvan³

et al. 2012

IJCA

View full text Add to dashboard Cite

show abstract

Using Grid Infrastructure for the Promotion of Biomedical Knowledge Mining

Chatziioannou

Kanaris

Doukas

2010

XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010

View full text Add to dashboard Cite

GRISSOM Platform: Enabling Distributed Processing and Management of Biological Data Through Fusion of Grid and Web Technologies

Chatziioannou

Kanaris

Doukas

et al. 2011

IEEE Trans. Inform. Technol. Biomed.

View full text Add to dashboard Cite

Transcriptomic technologies have a critical impact in the revolutionary changes that reshape biological research. Through the recruitment of novel high-throughput instrumentation and advanced computational methodologies, an unprecedented wealth of quantitative data is produced. Microarray experiments are considered high-throughput, both in terms of data volumes (data intensive) and processing complexity (computationally intensive). In this paper, we present grids for in silico systems biology and medicine (GRISSOM), a web-based application that exploits GRID infrastructures for distributed data processing and management, of DNA microarrays (cDNA, Affymetrix, Illumina) through a generic, consistent, computational analysis framework. GRISSOM performs versatile annotation and integrative analysis tasks, through the use of third-party application programming interfaces, delivered as web services. In parallel, by conforming to service-oriented architectures, it can be encapsulated in other biomedical processing workflows, with the help of workflow enacting software, like Taverna Workbench, thus rendering access to its algorithms, transparent and generic. GRISSOM aims to set a generic paradigm of efficient metamining that promotes translational research in biomedicine, through the fusion of grid and semantic web computing technologies.

show abstract

GRISSOM web based grid portal: Exploiting the power of grid infrastructure for the interpretation and storage of DNA microarray experiments

Cited by 3 publications

References 29 publications

LONETSSOM Platform: Enabling Distributed Processing, Managing and Mining of Biological Data through Fusion of Logical Network and Web Technologies in NETWORK Infrastructure

LONETSSOM Platform: Enabling Distributed Processing, Managing and Mining of Biological Data through Fusion of Logical Network and Web Technologies in NETWORK Infrastructure

Using Grid Infrastructure for the Promotion of Biomedical Knowledge Mining

GRISSOM Platform: Enabling Distributed Processing and Management of Biological Data Through Fusion of Grid and Web Technologies

Contact Info

Product

Resources

About