Case Studies Teaching Synthetic Biology to Scientists of Future

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	Teaching Synthetic Biology to Scientists of Future

Teaching Synthetic Biology to Scientists of Future

Technology Category	Analytics & Modeling - Machine Learning Functional Applications - Remote Monitoring & Control Systems Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Education Life Sciences
Applicable Functions	Product Research & Development Quality Assurance
Use Cases	Digital Twin Predictive Quality Analytics Remote Collaboration
Services	Cloud Planning, Design & Implementation Services Software Design & Engineering Services System Integration
Challenge	The University of Melbourne faced significant challenges in providing an immersive molecular biology experience without a lab. The existing course on Advanced Molecular Biology Techniques had become stale and unengaging, leading to low student interest. Additionally, there was a lack of user-friendly tools for students to learn and apply synthetic biology effectively. Teaching the course and its techniques to all students in a semester was also a logistical challenge. Read More
About Customer	The University of Melbourne, located in Australia, is a prestigious institution known for its strong emphasis on research and education. Joshua Heazlewood, Ph.D., an Associate Professor at the university, has been instrumental in revamping the Advanced Molecular Biology Techniques course. He joined the university in 2013 as an ARC Future Fellow at the School of Botany. The university aims to empower its students with the tools and knowledge to excel in synthetic biology, preparing them for future scientific endeavors. Read More
Solution	To address these challenges, Joshua Heazlewood partnered with TeselaGen in 2018. TeselaGen provided a cloud-based software platform that allowed students to simulate molecular biology workflows. Each semester, students were given access to this platform and engaged in a 3 to 4-hour workshop where they implemented various experimental workflows. These included promoter bashing tests, cost and pricing calculations for DNA material, and assays based on fluorescence from a GFP reporter protein. The collaboration allowed students to immerse themselves in real-world aspects of synthetic biology, leveraging TeselaGen's state-of-the-art software. TeselaGen also benefited from feedback provided by students as first-time users, helping to refine and improve their platform. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Functional Applications - Remote Monitoring & Control Systems

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Education

Life Sciences

Applicable Functions

Product Research & Development

Quality Assurance

Use Cases

Digital Twin

Predictive Quality Analytics

Remote Collaboration

Services

Cloud Planning, Design & Implementation Services

Software Design & Engineering Services

System Integration

Challenge

The University of Melbourne faced significant challenges in providing an immersive molecular biology experience without a lab. The existing course on Advanced Molecular Biology Techniques had become stale and unengaging, leading to low student interest. Additionally, there was a lack of user-friendly tools for students to learn and apply synthetic biology effectively. Teaching the course and its techniques to all students in a semester was also a logistical challenge.

About Customer

The University of Melbourne, located in Australia, is a prestigious institution known for its strong emphasis on research and education. Joshua Heazlewood, Ph.D., an Associate Professor at the university, has been instrumental in revamping the Advanced Molecular Biology Techniques course. He joined the university in 2013 as an ARC Future Fellow at the School of Botany. The university aims to empower its students with the tools and knowledge to excel in synthetic biology, preparing them for future scientific endeavors.

Solution

To address these challenges, Joshua Heazlewood partnered with TeselaGen in 2018. TeselaGen provided a cloud-based software platform that allowed students to simulate molecular biology workflows. Each semester, students were given access to this platform and engaged in a 3 to 4-hour workshop where they implemented various experimental workflows. These included promoter bashing tests, cost and pricing calculations for DNA material, and assays based on fluorescence from a GFP reporter protein. The collaboration allowed students to immerse themselves in real-world aspects of synthetic biology, leveraging TeselaGen's state-of-the-art software. TeselaGen also benefited from feedback provided by students as first-time users, helping to refine and improve their platform.

Impact #1	TeselaGen provided an intuitive platform for students to implement their experimental workflows, making the learning process more engaging.
Impact #2	The course achieved 100% student adoption for the past four years, indicating high levels of student satisfaction and engagement.
Impact #3	A total of 363 students have used the TeselaGen platform to date, showcasing the scalability and effectiveness of the solution.

Impact #1

TeselaGen provided an intuitive platform for students to implement their experimental workflows, making the learning process more engaging.

Impact #2

The course achieved 100% student adoption for the past four years, indicating high levels of student satisfaction and engagement.

Impact #3

A total of 363 students have used the TeselaGen platform to date, showcasing the scalability and effectiveness of the solution.

Benefit #1	100% student adoption for the past 4 years.
Benefit #2	363 students have used the TeselaGen platform up to date.
Benefit #3	9/10 of the students found TeselaGen very useful.

Benefit #1

100% student adoption for the past 4 years.

Benefit #2

363 students have used the TeselaGen platform up to date.

Benefit #3

9/10 of the students found TeselaGen very useful.

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Overview

Teaching Synthetic Biology to Scientists of Future

Operational Impact

Quantitative Benefit