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Julia: a natural language for computational biology
Abstract
Joe will speak about "Julia: a natural language for computational biology". He will discuss some of the BioJulia organisation, show packages such as BioStructures.jl, Bio3DView.jl and Molly.jl, and talk about how he has used Julia and its ecosystem in his research. Recent developments in the Julia ecosystem that will impact computational biology will also be discussed, along with a balanced assessment of how suitable Julia currently is for writing scientific software.
About the speaker(s)
Joe Greener is a research associate (postdoc) in the Bioinformatics Group at UCL. Previously he was a PhD student at Imperial College London. His interests include protein structures, molecular simulation, software development and open science. Currently his research involves developing computational methods to predict and design protein structures, with a focus on using deep learning for de novo protein structure prediction.
Are you involved in building or maintaining software for research within the Knowledge Quarter?
Would you like to? Is writing code part of your scientific or scholarly life?
Please join us for the UCL Knowledge Quarter Codes Technical Socials.
These informal events are for anyone with an interest in the computational methods and technology behind research and innovation. They are an opportunity to get to know fellow practitioners, and to discuss and learn about useful tools and techniques which may help with your work.
These are held monthly, 17.00 - 18.30, with a format as follows:
17:00-17:45: Short talk on a tool, program, environment, language or technique of general interest to programming researchers.
17:45-18:30: Discussion of a matter of interest to programming researchers, inspired by the talk, over pizza and drinks.
Previous events
Jay DesLauriers "Building a Cloud Toolkit"
Mosè Giordano "Julia: A Fresh Approach to Numerical Computing"
Sarah Stewart "'With the Software in the Library' - Best practices for the Research Software Management and Citation"
Dr Jonathan Cooper "PyBioPharma: cost-effective drug production, and lessons learned"
Andrew Edmondson "Software, theology, high performance computing, AI and RSEConUK 2019"
Dr Owain Kenway "An overview of Research Computing services and how we provide them"
Dr Setrak Balian "Classifier for detecting extremist propaganda videos on the web"
Dr Sanaz Jabbari "AI Studio"
Dr James Smithies "Maximising Research Capacity & Quality in Digital Laboratories: The Philosophy behind King’s Digital Lab"
Drs David Wright and Robin Richardson "EasyVVUQ: Error bars for everyone"
Prof Luca Viganò: "Explainable Security"
Dr Tom Dowrick: "Software Engineering for Novel Surgical Devices and Techniques"
Dr Jeremy Cohen: "Running Scientific Applications on HPC Infrastructure Using Singularity: A Case Study"
Dr Chris Richardson: "Interfacing Python to C++: some experiences with FEniCS Project"
Dr Peter Bloomfield: "The Machine Intelligence Garage: removing barriers from the AI startup ecosystem"
Professor Anthony Steed: "Rise, Fall and Rise of Virtual Reality"
UCL Research IT Services (RITS) deliver a range of services to help researchers make the best use of computing when managing and carrying out their work. Our services include research software development, high performance computing, research data management and research information management.
Share Knowledge Quarter Codes TechSocial | Wed. 15th Jan. 2020 | Joe Greener from UCL
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