Showing 4 open source projects for "git:/git.code.sf.net/p/docfetcher/code"

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  • 1
    BacterialChemotaxis

    BacterialChemotaxis

    Computer Lesson and Simulation of Bacterial Chemotaxis

    ...Bacterial Chemotaxis is the motion up or down the direction of an attractant or repelant of each bacteria. The simulation also demonstrates the bacterial mechanism of this utility. The Lesson also gives the Basic code used in the simulation. Installs as motility3a in c:/users/public/CSim3a
    Downloads: 0 This Week
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  • 2
    Peak List 2 MSP

    Peak List 2 MSP

    Simple peak list to MSP file converter

    ...It: takes lists from the clipboard (or drag and drop), sorts them by mass, normalises intensities, rejects below a cut off (that you define), adds MSP headers, puts the result back in the clipboard (or a file), has a command line interface so you can pass files in programmatically, has an api so you can call it in your own code (should you feel the urge). You: put a peak list in the clipboard from your favourite mass spec viewing software, append another list if you want (then you can merge lists together), copy-out or save the MSP that appears in the right hand box. Command line arguments: /? displays help information - Start from here. ...
    Downloads: 0 This Week
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  • 3
    Shoal

    Shoal

    A lot of fish in a shoal, in a gigantic scientific ocean.

    Ours organization website GCModeller.org is coming online soon! Shoal Shell is the sub project for the "genome-in-code"(http://code.google.com/p/genome-in-code/) virtual cell modelling project of the bacteria Xcc 8004. Shoal Shell aim at provide the modelling tool and the debugging tool for the GCModeller virtual cell modelling, And from the extendible library package, shoal shell can manage to accomplish the entire modelling job for any other bacteria species. ...
    Downloads: 0 This Week
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  • 4
    GenomeRunner

    GenomeRunner

    Annotation and enrichment of Next-Gen sequencing data

    ...Annotation analysis output - detailed annotation of each genomic region in input data. Used to prioritize individual genomic regions by the total number of epigenomic features they co-localize with. Enrichment analysis output - p-values of statistically significant co-localizations of input genome-wide data with genome annotation features selected for the analysis. Used to prioritize epigenomic features associated with user data.
    Downloads: 3 This Week
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