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Division of Bioinformatics

The Division of Bioinformatics at the Biocenter of the Medical University of Innsbruck is commited to the generation, management, integration, and leveraging data from genomics studies.

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Division of Bioinformatics | icbi.at Reviews
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The Division of Bioinformatics at the Biocenter of the Medical University of Innsbruck is commited to the generation, management, integration, and leveraging data from genomics studies.
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1 Bioinformatics
2 Computational Biology
3 Data Integration
4 Genomics
5 Regulatory Genomics
6 Transcriptomics
7 Software
8 Systems Biology
9 Computational Medicine
10 Deep sequencing
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biocenter,imprint,links,intranet,news,services,research,education,setting
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Division of Bioinformatics | icbi.at Reviews

https://icbi.at

The Division of Bioinformatics at the Biocenter of the Medical University of Innsbruck is commited to the generation, management, integration, and leveraging data from genomics studies.

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Division of Bioinformatics - Links

http://www.icbi.at/links.html

Medical University of Innsbruck. Am Journal of Physiology. British Journal of Cancer. British Journal of Haematology. Cancer Immunology, Immunotherapy. Cell Death and Differentiation. Cell Death and Disease. Cellular and Molecular Life Sciences. Comparative and Functional Genomics. Functional and Integrative Genomics. International Journal of Cancer. International Journal of Obesity. Journal of Biological Chemistry. The Journal of Biochemistry. Journal of Cell Biology (JCB). Journal of Cell Science.

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Division of Bioinformatics

http://www.icbi.at/index.html

Medical University of Innsbruck. Welcome to the Division of Bioinformatics. The research activities at the Division of Bioinformatics are directed towards two major thrusts:. Computational genomics. We are computationally exploring diverse functional genomics data in the context of human diseases. By analyzing high-dimensional datasets we aim to identify and prioritize candidate genes and further characterize pathways contributing to the pathophysiology of diseases.

3

Division of Bioinformatics - Infrastructure

http://www.icbi.at/jobs.html

Medical University of Innsbruck. 124; Academic jobs. 124; ISCB job board. 124; Bioinformatics jobs.

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Division of Bioinformatics - Imprint

http://www.icbi.at/imprint.html

Medical University of Innsbruck. Medical University of Innsbruck. Innrain 80-82/Level 4, 6020 Innsbruck, Austria. Email: icbi@i-med.ac.at. Email: zlatko.trajanoski@i-med.ac.at. Hubert.hackl@i-med.ac.at.

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Division of Bioinformatics - Imprint

http://icbi.i-med.ac.at/imprint.html

Medical University of Innsbruck. Medical University of Innsbruck. Innrain 80-82/Level 4, 6020 Innsbruck, Austria. Email: icbi@i-med.ac.at. Email: zlatko.trajanoski@i-med.ac.at. Hubert.hackl@i-med.ac.at.

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Biocenter - Innsbruck Medical University - Bioinformatics

http://biocenter.i-med.ac.at/division-of-bioinformatics

The research activities at the Section for Bioinformatics, Biocenter, Innsbruck Medical University are directed towards two major thrusts:. The development of bioinformatics methods and software tools for large-scale biomolecular data. Using state-of-the-art computer science methods and software engineering, bioinformatics services for genomic, transcriptomics, and proteomic data are developed, deployed, and maintained. Experimental Pathophysiology and Immunology.

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Division of Bioinformatics

Medical University of Innsbruck. Welcome to the Division of Bioinformatics. The research activities at the Division of Bioinformatics are directed towards two major thrusts:. Computational genomics. We are computationally exploring diverse functional genomics data in the context of human diseases. By analyzing high-dimensional datasets we aim to identify and prioritize candidate genes and further characterize pathways contributing to the pathophysiology of diseases.

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Division of Bioinformatics

Medical University of Innsbruck. Welcome to the Division of Bioinformatics. The research activities at the Division of Bioinformatics are directed towards two major thrusts:. Computational genomics. We are computationally exploring diverse functional genomics data in the context of human diseases. By analyzing high-dimensional datasets we aim to identify and prioritize candidate genes and further characterize pathways contributing to the pathophysiology of diseases.

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