Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 12691990

Client-server environment for high-performance gene expression data analysis.

Alexander Sturn·Bernhard Mlecnik·Roland Pieler·Johannes Rainer·Thomas Truskaller·Zlatko Trajanoski
View original source ↗Export metadata ↓

Abstract

SUMMARY: We have developed a platform independent, flexible and scalable Java environment for high-performance large-scale gene expression data analysis, which integrates various computational intensive hierarchical and non-hierarchical clustering algorithms. The environment includes a powerful client for data preparation and results visualization, an application server for computation and an additional administration tool. The package is available free of charge for academic and non-profit institutions.

Explore related subjects

Computing MethodologiesGene Expression ProfilingHypermediaInformation Storage and RetrievalOligonucleotide Array Sequence AnalysisSequence Analysis, DNASoftwareJournal ArticleResearch Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Alexander Sturn, Bernhard Mlecnik, Roland Pieler, Johannes Rainer, Thomas Truskaller, Zlatko Trajanoski. 2003-04-12. Client-server environment for high-performance gene expression data analysis.. https://doi.org/10.1093/bioinformatics%2Fbtg074

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2006

ANDY: a general, fault-tolerant tool for database searching on computer clusters.

SUMMARY: ANDY (seArch coordination aND analYsis) is a set of Perl programs and modules for distributing large biological database searches, and in general any sequence of commands, across the nodes of a Linux computer cluster. ANDY is compatible with several commonly used distributed resource management (DRM) systems, and it can be easily extended to new DRMs. A distinctive feature of ANDY is the choice of either dedicated or fair-use operation: ANDY is almost as efficient as single-purpose tools that require a dedicated cluster, but it runs on a general-purpose cluster along with any other jobs scheduled by a DRM. Other features include communication through named pipes for performance, flexible customizable routines for error-checking and summarizing results, and multiple fault-tolerance mechanisms. AVAILABILITY: ANDY is freely available and can be obtained from http://compbio.berkeley.edu/proj/andy. SUPPLEMENTARY INFORMATION: Supplemental data, figures, and a more detailed overview of the software are found at http://compbio.berkeley.edu/proj/andy.

Computing Methodologies↗
PubMed2006

A flexible infrastructure for delivering augmented reality enabled transcranial magnetic stimulation.

Transcranial Magnetic Stimulation (TMS) is the process in which electrical activity in the brain is influenced by a pulsed magnetic field. Common practice is to align an electromagnetic coil with points of interest identified on the surface of the brain, from an MRI scan of the subject. The coil can be tracked using optical sensors, enabling the targeting information to be calculated and displayed on a local workstation. In this paper we explore the hypothesis that using an Augmented Reality (AR) interface for TMS will improve the efficiency of carrying out the procedure. We also aim to provide a flexible infrastructure that if required, can seamlessly deploy processing power from a remote high performance computing resource.

Computing Methodologies↗