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Printable Handouts
Navigable Slide Index
- Introduction
- Talk outline
- Vision
- Computational tools and platforms
- Landscape (1)
- Landscape (2)
- Data diversity
- Analytics diversity
- Discoverability & navigability
- Diversity in data & analytics
- Platform needs
- What is Garuda? (1)
- What is Garuda? (2)
- Garuda definition
- Garuda platform
- Garuda dashboard
- Gadget social network
- Garuda gateway
- Garuda & next gen bio-medical practice
- Garuda & open innovation
- Garuda alliance
- Garuda platform highlights
- Open APIs to garudify
- Platform in action
- Connected analytics on Garuda
- From genotype to phenotype
- Deep curation of pathways (CellDesigner)
- Deep curation of pathways (CellNavigator)
- Data-driven networks
- Connecting to phenotypic data
- Kaomon – mood analyzer
- Wearless tremor monitoring system (Teramon)
- Event Analytics Dashboard
- AI/Machine learning
- Molecular modeling video
- Clinical analytics video
- Summary
- Learn more
- Final remarks and contact details
Topics Covered
- Computational landscape in systems biology and bioinformatics
- The Garuda platform: ability to connect, discover and inter-operate diverse databases, tools and techniques for analysis of data and visualization
- High Dimensional (HD) data and analytics
- Building custom pipelines for data analysis
- Using Garuda in biomedical & healthcare research
Talk Citation
Ghosh, S. (2018, August 29). Garuda platform: re-imagining connectivity in medicine [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved October 13, 2024, from https://doi.org/10.69645/BYOX8886.Export Citation (RIS)
Publication History
Financial Disclosures
- Dr. Samik Ghosh has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Other Talks in the Series: Systems Biology
Transcript
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0:00
Hello, everyone. My name is Samik Ghosh.
I'm a Senior Scientist at the Systems Biology Institute in Tokyo, Japan.
The title of my talk today is,
Garuda platform: re-imagining connectivity in medicine.
0:18
I'll start by giving a broad vision driving the platform,
moving on to an overview of
the computational landscape in systems biology and bioinformatics,
and then explain the components of the platform,
and finally end with a few use cases related to
the use of the Garuda platform in research in biomedicine and healthcare.
0:43
The vision driving the platform is to create an engine of scientific discovery.
All of us as researchers working in the field of biomedicine and healthcare
have immense amount of data and use different types of computational tools,
machine-learning algorithms, experimental techniques,
which provide you dimensions to the data,
and we believe we are at a cusp in research which will enable us to link up,
connect these diverse set of tools, technologies,
database towards building an engine of scientific discovery.
That vision drives the platform which we have built.
1:29
I want to start by giving an overview of
computational tools and platforms available in the community today.