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  Integrative omics - from data to biology.

Dihazi, H., Asif, A. R., Beißbarth, T., Bohrer, R., Feussner, K., Feussner, I., et al. (2018). Integrative omics - from data to biology. Expert Review of Proteomics, 15(6), 463-466. doi:10.1080/14789450.2018.1476143.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-4CD7-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-4A6B-3
Genre: Journal Article

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2588840.pdf (Publisher version), 647KB
 
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 Creators:
Dihazi, H., Author
Asif, A. R., Author
Beißbarth, T., Author
Bohrer, R., Author
Feussner, K., Author
Feussner, I., Author
Jahn, O., Author
Lenz, C.1, Author              
Majcherczyk, A., Author
Schmidt, B., Author
Schmitt, K., Author
Urlaub, H.1, Author              
Valerius, O., Author
Affiliations:
1Research Group of Bioanalytical Mass Spectrometry, MPI for Biophysical Chemistry, Max Planck Society, ou_578613              

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Free keywords: Multi-omics approaches; integrative omics; bioinformatic; systems biology; biostatistics
 Abstract: Multi-omic approaches are promising a broader view on cellular processes and a deeper understanding of biological systems. With strongly improved high-throughput methods the amounts of data generated have become huge, and their handling challenging. New bioinformatic tools and pipelines for the integration of data from different omics disciplines continue to emerge, and will support scientists to reliably interpret data in the context of biological processes. Comprehensive data integration strategies will fundamentally improve systems biology and systems medicine. To present recent developments of integrative omics, the Göttingen Proteomics Forum (GPF) organized its 6th symposium on the 23rd of November 2017, as part of a series of regular GPF symposia. More than 140 scientists attended the event that highlighted the challenges and opportunities but also the caveats of integrating data from different omics disciplines.

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Language(s): eng - English
 Dates: 2018-05-142018-06
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1080/14789450.2018.1476143
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Title: Expert Review of Proteomics
Source Genre: Journal
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Pages: - Volume / Issue: 15 (6) Sequence Number: - Start / End Page: 463 - 466 Identifier: -