Lab informatics harnesses cutting-edge technologies to manage, analyze, and interpret the vast amounts of data generated in lab settings. It encompasses the use of advanced software systems, including laboratory information management systems (LIMS), electronic laboratory notebooks (ELN), and scientific data management systems (SDMS), to streamline workflows and facilitate collaboration. Increasingly, lab informatics integrates machine learning (ML) and artificial intelligence (AI) algorithms to automate data analysis, predict trends, and optimize experimental processes. Explore how lab informatics empowers researchers and scientists to derive actionable insights, accelerate discoveries, and drive advancements across diverse scientific fields.
Scaling to any amount of data, Genedata Screener® captures, analyzes and manages all types of screening data on a single platform. Its superior performance and screening-specific business logic accelerate the analysis of HTS, HCS, and time-series assays. Genedata Screener enables users to optimize experiment and data analyses versus spending time on lengthy data capture, processing, and management tasks. Genedata Screener has…
