Comparative evaluation of microarray-based gene expression databases

Microarrays make it possible to monitor the expression of thousands of genes in parallel thus generating huge amounts of data. So far, several databases have been developed for managing and analyzing this kind of data but the current state of the art in this field is still early stage. In this paper, we comprehensively analyze the requirements for microarray data management. We consider the various kinds of data involved as well as data preparation, integration and analysis needs. The identified requirements are then used to comparatively evaluate eight existing microarray databases described in the literature. In addition to providing an overview of the current state of the art we identify problems that should be addressed in the future to obtain better solutions for managing and analyzing microarray data

Bio-Datenbanken

Schwerpunktthemen: Integrationsprobleme und Ansätze bei Bio-DB, Gleichheit und Ähnlichkeit, Ähnlichkeitsmaße Topics: Problems, Integration, Similarit

Autonom rekonfigurierbare Workflows

Prozesse, seien es Geschäfts- oder Produktionsprozesse, sind ständigen Änderungen unterworfen. Für Unternehmen gilt es, sich im Rahmen von Geschäftsprozessen immer wieder neuen Marktgegebenheiten, Gesetzen oder Kunden anzupassen. Auch Produktionsprozesse müssen bspw. für die Verarbeitung neuer Materialien zugeschnitten werden. Die vorliegende Arbeit beschreibt deshalb, einen umfassenden Ansatz für den Umgang mit Änderungen bzw. Rekonfigurationen von Workflows zu entwickeln. Dieser zeichnet sich durch zwei Schwerpunkte aus: (1) Vollständige Rekonfiguration aller Workflowperspektiven und (2) eine reflexive autonome Steuerung der Rekonfigurationen

Comparative evaluation of microarray-based gene expression databases

Microarrays make it possible to monitor the expression of thousands of genes in parallel thus generating huge amounts of data. So far, several databases have been developed for managing and analyzing this kind of data but the current state of the art in this field is still early stage. In this paper, we comprehensively analyze the requirements for microarray data management. We consider the various kinds of data involved as well as data preparation, integration and analysis needs. The identified requirements are then used to comparatively evaluate eight existing microarray databases described in the literature. In addition to providing an overview of the current state of the art we identify problems that should be addressed in the future to obtain better solutions for managing and analyzing microarray data

Comparative Evaluation of Microarray-based Gene Expression Databases

www.izbi.de, dbs.uni-leipzig.de Abstract. Microarrays make it possible to monitor the expression of thousands of genes in parallel thus generating huge amounts of data. So far, several databases have been developed for managing and analyzing this kind of data but the current state of the art in this field is still early stage. In this paper, we comprehensively analyze the requirements for microarray data management. We consider the various kinds of data involved as well as data preparation, integration and analysis needs. The identified requirements are then used to comparatively evaluate eight existing microarray databases described in the literature. In addition to providing an overview of the current state of the art we identify problems that should be addressed in the future to obtain better solutions for managing and analyzing microarray data.