Automating Data Processing with Mnova Gears

This document is a technical report that outlines the automation of data processing and analysis using the Mnova Gears platform. It begins by discussing the evolution of modern NMR and MS instruments, emphasizing their capability to acquire large datasets efficiently. However, it highlights that faster data acquisition alone does not resolve bottlenecks in data analysis, thus necessitating robust software solutions for automating analytical data processing. The report details the core processes involved in automation, including the distinction between sample and batch automation, and the importance of reusable components in data analysis workflows. It also introduces the MGears platform, which offers a suite of tools designed to implement these automation concepts effectively. The report explains the functionalities of 'bricks' and plugins within MGears, which facilitate customizable data processing and reporting. Additionally, it addresses the transition from sample-based to batch-based analysis, outlining the various configurations available to optimize data selection and processing for high throughput environments.