Plant Tissue Culture Micropropagation Analysis and Development
This project, led by Collins Udanor from the University of Nigeria, focuses on the development of a plant tissue culture micropropagation yield forecasting application using an SGW-based approach. The initiative addresses scientific problems related to time-consuming and costly experimentation by proposing a new version of the Plantisc application to run on a Science Gateway platform. The architecture, objectives, achievements, encountered problems, and future plans of the project are outlined, highlighting milestones achieved so far and challenges faced.
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Presentation Transcript
Development of a SGW-based Plant Tissue Culture Micropropagation Yield Forecasting Application, Plantisc2 Intermediate report Collins Udanor University of Nigeria Nsukka - Nigeria (collins.udanor@unn.edu.ng) WACREN e-Research Hackfest Lagos (Nigeria) This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement n 654237
Outline Scientific problem Architecture of the use case Objectives and milestones Achievements so far Any problems encountered Plans till the end of the hackfest 2
Scientific problem recap During the UNESCO-HP Brain Gain Initiative (BGI) project (2009-2013), the University of Nigeria team conducted series of plant tissue culture experiments and developed a stand-alone application, Plantisc. A Plant Tissue Culture micro propagation simulation software, which achieved over 67% predication accuracy. This application became necessary for the following reasons: 1. Time taken to perform the experiment is much 2. the experiment is cost intensive 3. and it is still in an empirical stage. A new version of this application is proposed to run on the Science gateway. 3
Architecture of the use case Plantisc2 Architecture and Orchestration on e- infrastructure Lab Experiment Plantisc2 on Lion Cloud UNN Lab data (.xls) Plantisc2 Client UI (.php) Plantisc2 data set on gLibrary repo (.csv) Plantisc2 server on Future Gateway (.py) 4
Objectives and milestones Objectives 1. Re-write a stand-alone version of Plantisc - Plantisc2 (website) 2. Create FG version of Plantisc2 3. Create gLibrary repo 4. Integrate with FG Milestones Prepare machine with necessary tools Create UI forms Create Database Upload data set and images to OAR Create gLibrary repos 5
Achievements so far The following milestones have been achieved: Prepared machine with necessary tools Created plantisc Database and populated it on local machine Uploaded data set and images to OAR 6
Any problems encountered Finding it difficult to debug previous codes for Plantisc Lack of documentation on Plantisc Network challenges Unable to login with my credentials into gLibrary 7
Plans till the end of the hackfest Test plantisc execution create a repo in glibrary for the run metadata Upload Plantisc data to gLibrary repo write the page that displays results 8
Thank you! sci-gaia.eu info@sci-gaia.eu
