2 Integrations with Signals Notebook

View a list of Signals Notebook integrations and software that integrates with Signals Notebook below. Compare the best Signals Notebook integrations as well as features, ratings, user reviews, and pricing of software that integrates with Signals Notebook. Here are the current Signals Notebook integrations in 2025:

  • 1
    Arxspan

    Arxspan

    Arxspan

    Arxspan's Electronic Lab Notebook is a fully integrated cloud platform for scientific data management that combines chemistry and biology data in one system. It is perfectly designed to enhance collaborative research across internal teams & external partners. Support for chemistry and biology experiments and workflows in single cloud ELN. Keyword, advanced, and chemical searching. Attachment and in-line editing for all Microsoft Office, image, and instrument files. Deployment in the private, secure Arxspan Cloud environment eliminates costly hardware acquisition, maintenance and IT overhead. Out of box integration with legacy electronic laboratory notebook systems. View and/or write sharing capabilities at notebook and project level. Configurable user role and permission hierarchies. Experiment signing and witnessing workflows. SAFE BioPharma compatibility for multi-factor capabilities. Support for validation of system and system updates.
  • 2
    Signals Research Suite

    Signals Research Suite

    PerkinElmer Informatics

    Secure and scalable, the Suite features a modern, intuitive interface that offers scientists complete control in configuring workflows for every technique, modality, and data type. Signals VitroVivo 3.0 (formerly Signal’s Screening) easily transforms raw data into actionable results and Signals Inventa 3.0 (formerly Signals Lead Discovery) is the next-gen analytics software that enables researchers to seamlessly publish results from disparate data sources. Experimental data capture, materials management, and collaboration workflows in a user-friendly cloud-based electronic notebook. Flexible visual and automatable instrument data processing to drive data quality and reproducibility. Unified data management for scientific results combined with rich interactive analytics. Extensibility to integrate with internal and partner systems and processes.
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