Network Strategies for Integrating Omic Data

Dr. Ernest Fraenkel

Department of Biological Engineering, Massachusetts Institute of Technology


Rapid advances in high-throughput technologies, including next-generation sequencing, proteomics, and metabolomics, are providing exceptionally detailed descriptions of the molecular changes that occur in diseases.However, it has been difficult to use these data to discover new therapeutic insights.Despite their power, each of these methods still only captures a small fraction of the cellular response.Moreover, when different assays are applied to the same problem, they provide apparently conflicting answers.I will show how specific network modeling approaches reveal the underlying consistency of the data by identifying small, functionally coherent pathways linking the disparate observations. These approaches can incorporate extremely sources of information, and have unlocked previously uninterpretable data from untargeted mass-spectrometry of small molecules.

日時: 2018年11月13日(火) 17:00~18:30
場所: 理学部3号館4F 412室
連絡先: 理学系研究科 生物科学専攻 生物情報科学科
黒田 真也(skuroda AT bs.s.u-tokyo.ac.jp)