Open Source Objective C Bio-Informatics Software

Objective C Bio-Informatics Software

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

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  • 1
    OsiriX - moved to Github
    The project has moved to GitHub: https://github.com/pixmeo/osirix
    Downloads: 2 This Week
    Last Update:
    See Project
  • 2
    CoactivationMap is a graphic user interface to browse through a map of functional co-activations of the human brain. Click on a region, and observe which other regions are likely to be connected
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    An easy way for single crystal structure analysis. Graphical software for single crystal structure refinement. CRYSTALBUILDER uses SHELXL-97 software for the refinement and makes directly possible the molecular structure visualization.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Natural Evolution is a slow process. Today's computing technologies give us a chance to accelerate and explore it. The goal of this program is to provide hand-held evolution. I already created some versions using Mac OS X's Cocoa environment.
    Downloads: 0 This Week
    Last Update:
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  • 5
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    OsiriX Plugins

    OsiriX Plugins

    Moved to http://github.com/pixmeo/osirix

    Moved to http://github.com/pixmeo/osirix
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    SnipPeep is an interactive graphic interface to visualise results from whole genome genotyping. It allows one to visualise single subjects and groups of subjects, and provides a direct connection with the UCSC Genome Browser.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    MatrixGen is a Bioinformatics application used to generate scoring matrices from analysis of aligned Amino Acid and DNA data sets. These matrices can then be used by Clustal to generate more accurate alignments. Based upon the Henikoff BLOSUM method.
    Downloads: 0 This Week
    Last Update:
    See Project
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