TY - JOUR
T1 - Visualization and analysis of a cardio vascular disease- and MUPP1-related biological network combining text mining and data warehouse approaches
AU - Sommer, Bjorn
AU - Tiys, Evgeny S
AU - Kormeier, Benjamin
AU - Hippe, Klaus
AU - Janowski, Sebastian Jan
AU - Ivanisenko, Timofey V
AU - Bragin, Anatoliy Olegovich
AU - Arrigo, Patrizio
AU - Demenkov, Pavel Sergeevich
AU - Kochetov, Alexey Vladimirovich
AU - Ivanisenko, Vladimir Aleksandrovich
AU - Kolchanov, Nikolay Aleksandrovich
AU - Hofestadt, Ralf
PY - 2010
Y1 - 2010
N2 - Detailed investigation of socially important diseases with modern experimental methods has resulted in the generation of large volume of valuable data. However, analysis and interpretation of this data needs application of efficient computational techniques and systems biology approaches. In particular, the techniques allowing the reconstruction of associative networks of various biological objects and events can be useful. In this publication, the combination of different techniques to create such a network associated with an abstract cell environment is discussed in order to gain insights into the functional as well as spatial interrelationships. It is shown that experimentally gained knowledge enriched with data warehouse content and text mining data can be used for the reconstruction and localization of a cardiovascular disease developing network beginning with MUPP1/MPDZ (multi-PDZ domain protein).
AB - Detailed investigation of socially important diseases with modern experimental methods has resulted in the generation of large volume of valuable data. However, analysis and interpretation of this data needs application of efficient computational techniques and systems biology approaches. In particular, the techniques allowing the reconstruction of associative networks of various biological objects and events can be useful. In this publication, the combination of different techniques to create such a network associated with an abstract cell environment is discussed in order to gain insights into the functional as well as spatial interrelationships. It is shown that experimentally gained knowledge enriched with data warehouse content and text mining data can be used for the reconstruction and localization of a cardiovascular disease developing network beginning with MUPP1/MPDZ (multi-PDZ domain protein).
UR - http://journal.imbio.de/articles/pdf/jib-148.pdf
U2 - 10.2390/biecoll-jib-2010-148
DO - 10.2390/biecoll-jib-2010-148
M3 - Article
VL - 7
SP - 1
EP - 26
JO - Journal of integrative bioinformatics
JF - Journal of integrative bioinformatics
SN - 1613-4516
IS - 1
ER -