Protein hücre içi yerleşim ve gen ifadesi verileri için analizler ve örün arayüzleri

In order to benefit maximally from large scale molecular biology data gener-ated by recent developments, it is important to proceed in an organized mannerby developing databases, interfaces, data visualization and data interpretationtools. Protein subcellular localization and microarray gene expression are twoof such fields that require immense computational effort before being used asa roadmap for the experimental biologist. Protein subcellular localization is im-portant for elucidating protein function. We developed an automatically updatedsearchable and downloadable system called model organisms proteome subcellu-lar localization database (MEP2SL) that hosts predicted localizations and knownexperimental localizations for nine eukaryotes. MEP2SL localizations highly cor-related with high throughput localization experiments in yeast and were shownto have superior accuracies when compared with four other localization predic-tion tools based on two different datasets. Hence, MEP2SL system may serve asa reference source for protein subcellular localization information with its inter-face that provides various search and download options together with links andutilities for further annotations. Microarray gene expression technology enablesmonitoring of whole genome simultaneously. We developed an online installablesearchable open source system called differentially expressed genes (DEG) thatincludes analysis and retrieval interfaces for Affymetrix HG-U133 Plus 2.0 ar-rays. DEG provides permanent data storage capabilities with its integration intoa database and being an installable online tool and is valuable for groups whoare not willing to submit their data on public servers.Keywords: protein subcellular localization prediction, microarray gene expression,eukaryotic model organisms, web interface and database, proteome.iv