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Genomic Virtual Laboratory

Cegielska B., Kaliszan D., Handschuh L., Figlerowicz M., Meyer N.

Computational Methods in Science and Technology

2010

Vol. 16, No. 1

39-49

In contemporary science, virtual laboratories give a chance to improve research by facilitating access to high-throughput technologies and bioinformatics methods. The Genomic Virtual Laboratory (GVL) presented here was developed for automate analysis of data retrieved from a microarray experiment. The system was implemented for R Bioconductor-based analysis of results obtained in the study on human acute myeloid leukaemia (AML). The article extends the theoretical aspects of GVL presented earlier [8] and describes how the particular elements were integrated to establish the advanced system of two-colour microarray data analysis.

User Interaction and Workflow Management in Grid enabled e-VLBI Experiments

Dolata Ł., Okoń M., Stokłosa D., Trocha Sz., Meyer N., Stroiński M., Kaliszan D., Rajtar T., Lawenda M.

Computational Methods in Science and Technology

2009

Vol. 15, nr 1

95-104

The purpose of this paper is to present the design of the integration of radio-astronomical VLBI experiments with the Grid environment. The current status of the VLBI process is described, and the main part of this document presents the proposed architecture for the development of the next generation e-VLBI system. This design was created for the purpose of the EXPReS project [12], partially funded by the European Commission (FP6 – IST).