ResourceLab Informatics
BioELNs - The need for adoption in data-driven R&D is foundational
28 Mar 2022In this white paper, explore how the BioELN is a foundational need in a data-driven R&D organization. Hear how the incorporation of a BioELN will ensure your scientists’ scientific method is captured, data and process standards are used, collaboration challenges are met, and reproducibility and replication of experimentation and testing is seamless.
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Signals™ Notebook
Revvity SignalsRevvity Signals Signals™ Notebook is the next-generation cloud-native electronic lab notebook (ELN) and scientific collaboration platform for today’s scientists. It is the only future-proof ELN that covers a comprehensive set of scientific use cases, spanning biology, chemistry, formulations, analysis, and more in an intuitive, searchable, scalable and secure platform.
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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.Electronic Laboratory NotebooksElectronic Laboratory Notebooks (ELNs) are becoming increasingly popular for documenting experimental processes and for lab data management. An ELN is informatics software which can be biology specific, chemistry specific, cross-disciplinary or web-based. Advantages of an electronic lab notebook include increased data protection, efficiency and straightforward data searching and sharing.Artificial Intelligence / Machine LearningArtificial intelligence (AI) and machine learning (ML) are transformative technologies used to analyze complex data, identify patterns, and make data-driven predictions across diverse scientific fields. Automate the analysis of large or complex data sets using AI algorithms and leverage machine learning models to improve diagnostics, accelerate drug discovery, and refine experimental design. Discover the best AI/ML software, platforms, and analytical tools in our peer-reviewed product directory: compare features, read customer reviews, and request pricing directly from manufacturers.Software SolutionArtificial Intelligence