There is a critical unmet need for new tools to analyze and understand 'big data' in the biological sciences where breakthroughs come from connecting massive genomics data with complex phenomics data. By integrating instant data visualization and statistical hypothesis testing, we have developed a new tool called OLIVER for phenomics visual data analysis with a unique function that any user adjustment will trigger realtime display updates for any affected elements in the workspace. By visualizing and analyzing omics data with OLIVER, biomedical researchers can quickly generate hypotheses and then test their thoughts within the same tool, leading to efficient knowledge discovery from complex, multi-dimensional biological data. The practice of OLIVER on multiple plant phenotyping experiments has shown that OLIVER can facilitate scientific discoveries. In the use case of OLIVER for large-scale plant phenotyping, a quick visualization identified emerging phenomena that are highly transient and heterogeneous. The unique circular heat map with false-color plant images also indicates that such emerging phenomena appear in different leaves under different conditions, suggesting that such previously unseen processes are critical for plant responses to dynamic environments.
|Title of host publication||Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018|
|Editors||Harald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang|
|Number of pages||8|
|State||Published - Jan 21 2019|
|Event||2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain|
Duration: Dec 3 2018 → Dec 6 2018
|Name||Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018|
|Conference||2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018|
|Period||12/3/18 → 12/6/18|
Bibliographical noteFunding Information:
This project is supported by Department of Energy BES program (grant no. DE-FG02-91ER20021) and National Science Foundation ABI program (grant no. 1458556). ∗ to whom correspondence should be addressed.
© 2018 IEEE.
- heat map
- instant data visualization
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics