982
edits
Akila Wijerathna-Yapa: Difference between revisions
Akila Wijerathna-Yapa (view source)
Revision as of 00:43, 12 November 2022
, 00:43, 12 November 2022no edit summary
No edit summary |
No edit summary |
||
| (4 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
{{Participant | {{Participant | ||
|Timezone= | |Timezone=Australia/Brisbane (GMT+10:00/GMT+10:00) | ||
|Affiliation= | |Affiliation=[https://www.plantsuccess.org/ ARC Centre of Excellence for Plant Success in Nature and Agriculture], [https://en.wikipedia.org/wiki/University_of_Queensland The University of Queensland] | ||
|Table Assignment=Table 2 | |Table Assignment=Table 2 | ||
}} | }} | ||
{{Workshop Submission | {{Workshop Submission | ||
|Interest=We use knowledge of networks, multidisciplinary hypothesis-driven mechanistic modeling, molecular plant physiology, genetics, and genomics approach to understand how plants regulate bud outgrowth and discover new network components that facilitate breeding. I | |Interest=We use knowledge of networks, multidisciplinary hypothesis-driven mechanistic modeling, molecular plant physiology, genetics, and genomics approach to understand how plants regulate bud outgrowth and discover new network components that facilitate breeding. I look forward to learning how the community uses Computer-Supported tools for hypothesis and evidence synthesis for life science research. | ||
|Frame=Practitioner | |Frame=Practitioner | ||
|Materials= | |Materials=I am interested in using prior knowledge for plant phenotypic prediction research in predictive breeding. Today we have a substantial understanding of the biology of how plant regulates their phenotypes—however, this information accumulated over the years and scattered. Therefore I am keen to build a knowledge network that mathematicians and computational modelers can use this knowledge network to develop algorithms to predict phenotypes. | ||
|Organizer Topics=Research Data, Graphs | As a first challenge of the project, I have to bridge the gap between computational biologists and wet lab researchers to communicate biology to understand molecular physiological mechanisms. For this, I'm intended to use Systems Biology Graphical Notations. By joining CSCW 2022, I would like to learn how to use markdown-based note-taking Apps (i.e., [https://logseq.com/ LogSeq], [https://obsidian.md/ Obsidian], [https://roamresearch.com/ Roam Research]) to synthesize the knowledge and import it into [https://en.wikipedia.org/wiki/Systems_Biology_Graphical_Notation Systems biology graphical notation markup language] to create the network. | ||
|Organizer Topics=Research Data, Knowledge Graphs, Knowledge Network, [https://sbgn.github.io/ Systems Biology Graphical Notation (SBGN)] | |||
}} | }} | ||