Showing 60 open source projects for "library python"

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  • 1
    A project to develop an integrated and open bioinformatics framework and environment.
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  • 2
    SIP (Sample Inventory Program) is a web application for managing mass quantities of lab samples. It is the first out-of-the-box Zope 3 app, and is field-proven. SIP may be used as-is, or as inspiration for other Zope 3 apps. (e.g. O/R RDBMS storage)
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  • 3
    Python library to convert networks from/to many different formats, like the ones used in Pajek, Cytoscape and other popular graph formats like GML. It also includes support to integrate experimental data to the netowork.
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  • 4
    Disease Gene Profiler (DGP) comprises of a set of (bioinformatics) tools that can be used to identify the genes underlying susceptibility to common multifactorial diseases (such as diabetes, asthma and cancer) using freely available datasources.
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  • 5
    A Java software for 3D visualization of graphs/networks. It implements many graph layout algorithms (such as force-directed methods), graph generators (such as scale-free networks) and graph modifiers. Most functions can be accessed through its GUI.
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  • 6
    Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
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  • 7
    A python library for handling and analyzing biological sequence annotations as described in GFF files (General Feature Format). The library is intended to be a complete framework for this file format.
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  • 8
    DEODAS designs & analyzes consensus-degenerate oligonucleotide probes for biological research. DEODAS automatically designs and screens, probes against databases of known genes & stores the information in a searchable database.
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  • 9
    generic makefiles for use in bioinformatics
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  • 10
    Code repository for the Laboratory for Genome Bioinformatics at Texas A&M. The LGB project was initiated primarily to support biologists at Texas A&M needing help with bioinformatics in order to use new genomic technologies.
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