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.
A high-performance program for ligand-based drug design Phase is a complete package of pharmacophore modeling tools that offers scientists an unparalleled level of control at each step. Fast, accurate, and highly configurable, Phase is a powerful tool for hit generation and lead hopping. Expert levels of control: Phase distinguishes itself from "black box" software by allowing users to exercise precise control over job sett…
