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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Moulos, P. Valavanis, I. Klein, J. Maglogiannis, I. Schanstra, J. Chatziioannou, A. |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute of Biological Research and Biotechnology, National Hellenic Research Foundation, Athens, Greece (Moulos, P.; Valavanis, I.; Chatziioannou, A.) || Institut National de la Santé et de la Recherche Médicale (INSERM), U858, Toulouse, France (Klein, J.; Schanstra, J.) || University of Central Greece, Lamia, Greece (Maglogiannis, I.) |
| Abstract | The wealth of data amassed by the utilization of various high-throughput techniques, in various layers of molecular dissection, stresses the critical role of the unification of the computational methodologies applied in biological data handling, storage, analysis and visualization. In this article, a generic workflow is showcased in a multi-omic dataset that is used to study Obstructive Nephropathy (ON) in children, integrating microarray data from several biological layers (transcriptomic, post-transcriptomic, proteomic). The workflow exploits raw measurements and through several analytical stages (preprocessing, statistical and functional), which entail various parsing steps, reaches the visualization stage of the heterogeneous, broader, molecular interacting network derived. This network, where the interconnected entities are exploiting the knowledge stored in public repositories, represents a systems level interpretation of the pathological state probed. |
| Starting Page | 3716 |
| Ending Page | 3719 |
| File Size | 534620 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441211 |
| ISSN | 1557170X |
| e-ISBN | 9781457715891 |
| e-ISBN | 9781424441228 |
| DOI | 10.1109/IEMBS.2011.6090631 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data visualization Proteins Bioinformatics Mice Genomics Proteomics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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