a Göttingen Proteomics Forum (GPF) , Göttingen , Germany.
b Nephrology and Rheumatology , University Medical Center Göttingen, University of Göttingen , Göttingen , Germany.
Expert Rev Proteomics. 2018 Jun;15(6):463-466. doi: 10.1080/14789450.2018.1476143. Epub 2018 May 18.
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. Area Covered: 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. Expert commentary: The continuous exponential growth in omics data require similar development in software solutions for handling this challenge. Integrative omics tools offer the chance to handle this challenge but profound investigations and coordinated efforts are required to boost this field.
多组学方法有望更全面地了解细胞过程，并深入理解生物系统。随着高通量方法的显著改进，产生的数据量变得非常庞大，处理这些数据极具挑战性。
新的生物信息学工具和管道不断涌现，用于整合来自不同组学领域的数据，这将支持科学家在生物过程的背景下可靠地解释数据。全面的数据整合策略将从根本上改善系统生物学和系统医学。
为了展示整合组学的最新进展，哥廷根蛋白质组学论坛（gpf）于 2017 年 11 月 23 日组织了第 6 次研讨会，作为 gpf 定期研讨会系列的一部分。超过 140 名科学家参加了此次活动，重点讨论了整合来自不同组学领域的数据所面临的挑战和机遇，以及需要注意的问题。
组学数据的持续指数级增长要求软件解决方案在处理这一挑战方面也取得类似的发展。整合组学工具提供了应对这一挑战的机会，但需要进行深入的研究和协调努力，以推动这一领域的发展。
