Genomics | Bioinformatics
Finding out what happened – highlighting the essence of biological experiments
Gregor Warsow, Steffi Falk, Clemens Harder, Marcin Siatkowski, Boris Greber, Hans Schöler, Sandra Schordan, Nicole Endlich, Karlhans Endlich, Dirk Repsilber, Georg Fuellen*
*Corresponding author: Georg Fuellen
Institute for Biostatistics and Informatics in Medicine and Ageing Research, University of Rostock, Rostock, Germany
F1000Posters 2011, 2: 1400 (poster) [ENGLISH]
Poster [1.93 MB]
Presented at
19th Annual International Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology 2011 (ISMB/ECCB),
17 - 19 Jul 2011, X05
To understand the response of cells and organisms to internal or external change of conditions, experimentalists have generated an ever increasing plethora of differential and time series data. This data is often investigated by application of several statistical or bioinformatic techniques yielding a set of candidate genes that may explain the observed changes. To improve the comprehension of the mechanisms behind the changes, we suggest combining the data with existing knowledge from pathways or protein interaction networks.
To obtain a better understanding of the mechanisms behind induction of pluripotency, we curated a protein interaction network called the PluriNetWork, available at WikiPathways. Furthermore, we developed ExprEssence, an easy-to-use open-source Cytoscape plugin using gene expression data to condense a large network by identification of those protein interactions most heavily influenced under different conditions or states. The results of this analysis allowed predictions that were experimentally confirmed later on.
No relevant conflicts of interest declared.
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