Subcellular Localization Statistics of a Dilated-Cardiomyopathy-related Biological Network
In our previous work a workflow was introduced to analyze the subcellular localization of a MUPP1related protein-protein interaction network using the CELLmicrocosmos Pathwaylntegration (CmPI). Starting point of this approach was a human sample associated with Dilated Cardiomyopathy which is a major cause of death in many industrialized nation. Based on a logical analysis, the subcellular localization of the pathway was predicted and mapped onto a threedimensional cell environment. But the workflow leading to the definition of the final localizations as well as the analysis methods has had its drawbacks. Therefore, in this work a new interactive visualization method is presented, enabling a fast and intuitive way to analyze and locate the MUPPrelated pathway, the Localization Statistics. In addition it will be shown - based on a new data integration of the used databases - that a prediction from our previous approach has meanwhile been proven.
Bj(o)rn Sommer Klaus Hippe Pavel S. Demenkov Patrizio Arrigo Benjamin Kormeier Alexey V. Kochetov Vladimir A. Ivanisenko Nikolay A. Kolchanov Ralf Hofest(a)dt
Bio-/Medical Informatics Department, Bielefeld University, Universitatsstralie 25,33615 Bielefeld, G Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences,4 Acad. Koptyug CNR ISMAC, Via de Marini 6, Genoa, Italy Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Lavrentyeva
国际会议
杭州
英文
94-105
2012-04-02（万方平台首次上网日期，不代表论文的发表时间）