Showing 68 open source projects for "python imaging library"

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  • 1
    A Python library bringing together utilities I've written over the years for work in bioinformatics and biostatistics, which should be generally applicable outside these fields as well. Focuses on string processing, DBI, and math.
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  • 2
    A library and associated applications for searching for patterns in protein structures and measuring geometric parameters.
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  • 3
    Esra is a 100% pure java library for the interactive analysis of molecular mechanics data. Mangles your data in your favorite scripting language.
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  • 4
    PARs is a bioinformatics tool for the analysis of cis-regulatory DNA sequences. Composed of two parts: a suite of sequence analysis algorithms for predicting cis-binding sites in DNA sequences and a GUI for visualisation and exploration of the results.
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  • 5
    DrPangloss is a python implementation of a three operator genetic algorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
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  • 6
    A repository of Python extension scripts for use with the Sparky (http://www.cgl.ucsf.edu/home/sparky) NMR assignment package. No packaged releases yet, but there are scripts in the Sourceforge CVS@ http://sparkyscripts.cvs.sourceforge.net/sparkyscripts
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  • 7
    A project to develop an integrated and open bioinformatics framework and environment.
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  • 8
    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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  • 9
    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.
    Downloads: 3 This Week
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  • 10
    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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  • 11
    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.
    Downloads: 3 This Week
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  • 12
    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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  • 13
    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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  • 14
    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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  • 15
    pypub is a Python library and application for downloading, storing, and analyzing biomedical literature MEDLINE records from PubMed (http://www.pubmed.com) in response to a user query.
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  • 16

    pymzML

    Python module to interface mzML data in Python

    Python module to interface mzML data in Python based on cElementTree with additional tools for MS-informatics. CITATION Please cite us when using pymzML for your publications. Bald, T., Barth, J., Niehues, A., Specht, M., Hippler, M., & Fufezan, C. (2012). pymzML - Python module for high throughput bioinformatics on mass spectrometry data. Bioinformatics, 1-2. doi: 10.1093/bioinformatics/bts066
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  • 17
    generic makefiles for use in bioinformatics
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  • 18
    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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