Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
Permanent URI for this collectionhttps://hdl.handle.net/11147/9
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Conference Object Pros and Cons of Plant Nuclear Protein Enrichment(Mendel University of Agriculture and Forestry Brno, 2016) Svetlakova, Anna; Cerna, Hana; Novak, Jan; Şelale, HaticeNuclear proteome contains important regulatory proteins. To improve the detection of these proteins, Percoll gradient-based fractionation techniques have been developed and optimized. However, owing to the ever increasing sensitivity of identification methods based on liquid chromatography and mass spectrometry, the time and material consuming fractionation methods may no longer be necessary. Here, we show that a Percoll-based nuclear protein fractionation of tomato leaf proteome increased the number of detected proteins, but at least some nuclear proteins were lost or depleted in the process.Conference Object Citation - WoS: 4Citation - Scopus: 4Mining Frequent Patterns From Microarray Data(Institute of Electrical and Electronics Engineers Inc., 2011) Yıldız, Barış; Şelale, HaticeThe rapid development of computers and increasing amount of collected data made data mining a popular analysis tool. Data mining research is interrelated to many fields and one of the most important ones is bioinformatics. Among many techniques, mining association rules or frequent patterns is one of the most studied techniques in computer science and it is applicable to bioinformatics. Association analysis of gene expressions may be used as decision support mechanism for finding genes that are in same pathway. In this work, publicly available yeast microarray data has been analyzed using an efficient frequent pattern mining algorithm Matrix Apriori and frequently co-over-expressed genes have been identified. © 2011 IEEE.