Search Results for "Databases Open Source & DevTools"

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Showing 6 open source projects for "Databases Open Source & DevTools"

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  • 1
    The MolTools Java library provides tools for building applications that handle nucleotide sequence data. Features include sequence I/O, handling of lists/databases of sequences, calculation of Tm, and other utilities for sequence design.
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  • 2
    KimBlast

    KimBlast

    Blast+ the easy way

    KimBlast GUI formats and indexes Fasta databases for Blast, performs Blast searches and analyzes results. Python 3.x version. For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/kimblast3/code/ci/default/tree/README.md
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  • 3
    The Diffraction Image Experiment Repository (DIMER) is an online archive for diffraction experiments, providing secure storage during analysis and publishing of experiments so they can be linked to, searched, and integrated into other databases.
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  • 4

    RMol : SD/Molfile information in R

    RMol: Transforming SD/Molfile structure information into R Objects

    RMol is an R script with a collection of functions to link information of SD/Molfile structure databases with powerful graph analysis packages in R.
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    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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  • 5
    Databases to aid Metabolomics projects providing storage functionality for raw and preprocessed data, and integration with existing data analysis environments.
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  • 6
    MOLGENIS can be used to generate databases for life science experiments (micrroarray, mass spectrometry, genomics) having a web user interface, csv exchange format, and programmatic interfaces (web services, rest, and r-project). See NatRevGen 8.
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