Open Source Common Lisp Bio-Informatics Software

x
Sort By:

Common Lisp Bio-Informatics Software

View 59 business solutions
Bio-Informatics Common Lisp Clear Filters

Browse free open source Common Lisp Bio-Informatics Software and projects below. Use the toggles on the left to filter open source Common Lisp Bio-Informatics Software by OS, license, language, programming language, and project status.

  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
    Start Free
  • Build Securely on Azure with Proven Frameworks Icon
    Build Securely on Azure with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
    Download Now
  • 1
    The Common Lisp Computational Biology (CLCB) package is intended to be a comprehensive, flexible and easy to use library for bioinformatics and computational biology.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    genppi

    genppi

    GENPPI: standalone software for creating protein interaction networks

    Our software GENPPI is efficient because, for example, it creates interaction networks from the central genome of 50 species/lineages of Corynebacterium, with an average size of 2200 genes, in less than 40 minutes, on a conventional computer. Our software is compelling because the interaction networks that it creates reflect evolutionary relationships between species and obtained in Average Nucleotide Identity (ANI) analyzes. Also, It allows the user to define how he intends to explore the PP and CN characteristics through various parameters that let on the creation of customized interaction networks. For instance, one can set parameters regarding the genus, metagenome, or pangenome. In addition to the parameterization of GENPPI, it is also the user's choice what set of genomes he is going to study. Please, to obtain the software and tutorials access: https://genppi.facom.ufu.br
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
Want the latest updates on software, tech news, and AI?
Get latest updates about software, tech news, and AI from SourceForge directly in your inbox once a month.