Browse free open source Perl Mathematics Software for Mac and projects below. Use the toggles on the left to filter open source Perl Mathematics Software for Mac by OS, license, language, programming language, and project status.

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  • 1
    The Simplest Manual Counter

    The Simplest Manual Counter

    Manual counter with the keyboard or the mouse on images

    The only open source counter to count any items the simplest and easiest way with the keyboard, or the mouse specifically on images. After associating a key to each item, or a predefined graphical symbol for images, pressing the key or clicking on the image increments its associated counter, and displays (for the images) the symbol at the mouse's pointer location. Such a project is so simple a child could use it!
    Downloads: 1 This Week
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  • 2
    A Perl Extension for modeling enzymatic (biochemical) reaction networks
    Downloads: 0 This Week
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  • 3

    Corbata

    CORe microBiome Analysis Tools

    Corbata is a set of statistical tools that can be used to analyze the core microbiome across a set of samples.
    Downloads: 0 This Week
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  • 4

    HPCall

    Improved base-calling for homopolymer-sensitive next-gen data.

    The current software contains the implementation for the 454 pyrosequencing platform.
    Downloads: 0 This Week
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  • 5

    segment

    Solve the Viterbi algorithm in a data stream

    It is often necessary to assign a series of discrete values to continuosly variable data sequenced by time, position, etc., thereby parsing the data into fewer and larger segments of variable width. The 'segment' utility takes an input data stream as a Hidden Markov Model and applies the Viterbi algorithm to find the most likely segmentation path through the data.
    Downloads: 0 This Week
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  • 6

    smooth

    Wavelet smoothing in a data stream

    It is often necessary to smooth high frequency fluctuations out of data streams sequenced by time, position, etc. The 'smooth' utility applies such smoothing using the wavelet algorithm. This implementation of wavelet smoothing was optimized for use in a data stream. It was adapted from HMMSeg Wavelet.Java by Thomas E. Wilson, University of Michigan. HMMSeg Wavelet.Java was written by Andrew Hemmaplardh, University of Washington. http://noble.gs.washington.edu/proj/hmmseg/ Unsupervised segmentation of continuous genomic data, Bioinformatics 2007 23:1424-1426 See the above references for a more thorough description of the principles behind wavelet smoothing.
    Downloads: 0 This Week
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