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Journal of Integrative Bioinformatics

Editor-in-Chief: Schreiber, Falk / Hofestädt, Ralf

Managing Editor: Sommer, Björn

Ed. by Baumbach, Jan / Chen, Ming / Orlov, Yuriy / Allmer, Jens

Editorial Board: Giorgetti, Alejandro / Harrison, Andrew / Kochetov, Aleksey / Krüger, Jens / Ma, Qi / Matsuno, Hiroshi / Mitra, Chanchal K. / Pauling, Josch K. / Rawlings, Chris / Fdez-Riverola, Florentino / Romano, Paolo / Röttger, Richard / Shoshi, Alban / Soares, Siomar de Castro / Taubert, Jan / Tauch, Andreas / Yousef, Malik / Weise, Stephan / Hassani-Pak, Keywan


CiteScore 2017: 0.77

SCImago Journal Rank (SJR) 2017: 0.336

Open Access
Online
ISSN
1613-4516
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Volume 7, Issue 1

Issues

Visualization and Analysis of a Cardio Vascular Diseaseand MUPP1-related Biological Network combining Text Mining and Data Warehouse Approaches

Björn Sommer
  • Corresponding author
  • Bio-/Medical Informatics Department, Bielefeld University, Universitätsstraße 25, 33615 Bielefeld, Germany
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/ Evgeny S. Tiys
  • Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Lavrentyeva 10, 630090 Novosibirsk, Russian Federation
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/ Benjamin Kormeier
  • Bio-/Medical Informatics Department, Bielefeld University, Universitätsstraße 25, 33615 Bielefeld, Germany
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/ Klaus Hippe
  • Bio-/Medical Informatics Department, Bielefeld University, Universitätsstraße 25, 33615 Bielefeld, Germany
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/ Sebastian J. Janowski
  • Bio-/Medical Informatics Department, Bielefeld University, Universitätsstraße 25, 33615 Bielefeld, Germany
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/ Timofey V. Ivanisenko
  • Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Lavrentyeva 10, 630090 Novosibirsk, Russian Federation
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/ Anatoly O. Bragin
  • Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Lavrentyeva 10, 630090 Novosibirsk, Russian Federation
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/ Patrizio Arrigo / Pavel S. Demenkov
  • Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, 4 Acad. Koptyug avenue, 630090 Novosibirsk, Russian Federation
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/ Alexey V. Kochetov
  • Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Lavrentyeva 10, 630090 Novosibirsk, Russian Federation
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/ Vladimir A. Ivanisenko
  • Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Lavrentyeva 10, 630090 Novosibirsk, Russian Federation
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/ Nikolay A. Kolchanov
  • Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Lavrentyeva 10, 630090 Novosibirsk, Russian Federation
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/ Ralf Hofestädt
  • Bio-/Medical Informatics Department, Bielefeld University, Universitätsstraße 25, 33615 Bielefeld, Germany
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Published Online: 2016-10-18 | DOI: https://doi.org/10.1515/jib-2010-148

Summary

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).

About the article

Published Online: 2016-10-18

Published in Print: 2010-03-01


Citation Information: Journal of Integrative Bioinformatics, Volume 7, Issue 1, Pages 114–139, ISSN (Online) 1613-4516, DOI: https://doi.org/10.1515/jib-2010-148.

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© 2010 The Author(s). Published by Journal of Integrative Bioinformatics.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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