Biomedical subjects

Gerhard G Thallinger

Publications and source records attributed to Gerhard G Thallinger.

3 recordsLinked to original sources

PubMed2005

YPL.db2: the Yeast Protein Localization database, version 2.0.

The Yeast Protein Localization database (YPL.db(2)) is an archive of microscopic image data of protein localization patterns in the yeast Saccharomyces cerevisiae. The current version of YPL.db(2) harbours 500 sets of image data derived from high-resolution microscopic analyses of proteins tagged with the green fluorescent protein (GFP). Major functional improvements in YPL.db(2) over a previous release are a web-based experiment and image submission interface, facilitating standardized data entry by remote users through the Internet. The image display page provides image gallery and image scrolling features. In addition, fluorescence and transmission images can be superimposed, allowing image fading for precise correlation of the protein's localization in the cellular context. The reference structure database displaying 'prototypic' localization patterns was extended, and a feature to display and manipulate 3D-image datasets, using a freely available VRML plug-in, was included. Access to the Yeast Protein Localization database version 2.0 (YPL.db(2)) is available through http://YPL.uni-graz.at.

Databases, Protein↗

PubMed2002

YPL.db: the Yeast Protein Localization database.

The Yeast Protein Localization database (YPL.db) contains information about the localization patterns of yeast proteins resulting from microscopic analyses. The data and parameters of the experiments to obtain the localization information, together with images from confocal or video microscopy, are stored in a relational database, building an archive of, and the documentation for, all experiments. The database can be queried based on gene name, protein localization, growth conditions and a number of additional parameters. All experiment parameters are selectable from predefined lists to ensure database integrity and conformity across different investigators. The database provides a structure reference resource to allow for better characterization of unknown or ambiguous localization patterns. Links to MIPS, YPD and SGD databases are provided to allow fast access to further information not contained in the localization database itself. YPL.db is available at http://ypl.tugraz.at.

Computer Graphics↗

PubMed2002

Information management systems for pharmacogenomics.

The value of high-throughput genomic research is dramatically enhanced by association with key patient data. These data are generally available but of disparate quality and not typically directly associated. A system that could bring these disparate data sources into a common resource connected with functional genomic data would be tremendously advantageous. However, the integration of clinical and accurate interpretation of the generated functional genomic data requires the development of information management systems capable of effectively capturing the data as well as tools to make that data accessible to the laboratory scientist or to the clinician. In this review these challenges and current information technology solutions associated with the management, storage and analysis of high-throughput data are highlighted. It is suggested that the development of a pharmacogenomic data management system which integrates public and proprietary databases, clinical datasets, and data mining tools embedded in a high-performance computing environment should include the following components: parallel processing systems, storage technologies, network technologies, databases and database management systems (DBMS), and application services.

Animals↗