ResourceLab Informatics
Advanced data management spurs faster innovation in oil and gas
14 Sept 2022This white paper explains how data capture and analytics solutions by PerkinElmer Informatics can advance innovation in the development of petroleum and petroleum-alternative products—reducing risk and getting you to market faster.
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Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.Software PlatformsSoftware platforms are useful for various stages of laboratory experiments from data collection to data storage and processing. For instance lab software is available for system control, data management, data analysis and qualification / validation.AutomationAutomation in laboratories and manufacturing processes enhances efficiency, precision, and scalability by reducing the need for manual intervention. It plays a critical role in improving productivity, minimizing human error, and accelerating workflows in fields like diagnostics, drug development, and industrial testing. Automation technologies include robotic systems, automated liquid handlers, and process control systems that streamline complex tasks and ensure consistent, reproducible results. Explore our peer-reviewed product directory to discover the best automation solutions, compare options, read user reviews, and get prices directly from manufacturers.Data AnalysisThe analysis of data is the process of transforming, modeling and evaluating data to discover useful information from experimental results. Data Management
