Abstract: Recent machine learning successes like Alphafold II highlight the utility of large, high-fidelity datasets in life science. The Bioautomation Challenge is launching a new program called The Open Dataset Initiative that experiments with a new paradigm for funding, collecting, and sharing such datasets. This program will create a portfolio of robust experimental cloud lab techniques and allow scientists worldwide to submit samples for analysis. The resulting standardized measurements populate a public database after an embargo period. n
Abstract: PyLabRobot is a Python library that provides a hardware-agnostic programming interface to liquid-handling robots based on a universal model of their functionality. PyLabRobot provides an extensible framework for instantiating device drivers to different models of robots that can enact commands issued from a high-level, device agnostic interface. This is based on a set of abstract base classes that define general liquid-handling commands, which are then implemented in robot device drivers. Development of new robot scripts and applications is fundamentally streamlined by allowing developers to access open-source code ecosystems. The abstraction of high-level commands from specific hardware implementations means that general-purpose applications can be created and reused across different robots and controllers.
Speaker biography: Stefan is an automation engineer at MIT and developer of PyLabRobot.