Showing 12 open source projects for "stream"

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  • 1
    Jenetics: Java Genetic Algorithm Library
    ...Jenetics allows you to minimize or maximize the given fitness function without tweaking it. In contrast to other GA implementations, the library uses the concept of an evolution stream (EvolutionStream) for executing the evolution steps. Since the EvolutionStream implements the Java Stream interface, it works smoothly with the rest of the Java Stream API. Other repositories: - https://github.com/jenetics/jenetics Maven: - https://mvnrepository.com/artifact/io.jenetics
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  • 2
    CSBB-v2.1 [CSBB-v3.0 is now available]

    CSBB-v2.1 [CSBB-v3.0 is now available]

    Computational Suite For Bioinformaticians and Biologists

    ...CSBB is implemented in Perl, while it also leverages the use of R, java and ruby in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX and Windows platforms. Currently CSBB provides 17 modules focused on analytical tasks like normalization, visualization, statistics, RNA-SEQ etc.
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  • 3
    CSBB-v3.0

    CSBB-v3.0

    CSBB - Computational Suite for Bioinformaticians and Biologists

    ...CSBB is implemented in Perl, while it also leverages the use of R, java, python and ruby in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX. Currently CSBB provides 18 modules focused on analytical tasks like performing upper-quantile normalization, interactive visualization and next generation sequencing pipelines. CSBB now also has capability to process public data. ...
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  • 4
    CSBB-v2.0

    CSBB-v2.0

    Computational Suite for Bioinformaticians and Biologists

    ...CSBB is implemented in Perl, while it also leverages the use of R, java and ruby in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX and Windows platforms. Currently CSBB provides 16 modules focused on analytical tasks like normalization, visualization, statistics, RNA-SEQ etc.
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  • 5

    JMGF

    Java implementation for the Mascot Generic File Format (MGF).

    JMGF is a lightweight framework for handling MGF files. It supports reading, writing and parsing of MGF files. Files may be read/ written at once, or stream-based (memory efficient). It's stable, very intuitive and good integrated with Java 1.5 SDK and later.
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  • 6

    JFASTA

    Java implementation for the FASTA file format.

    JFASTA is a lightweight framework for handling FASTA files. It supports reading, writing and parsing of single- or multi-FASTA files. Files may be read/ written at once, or stream-based (memory efficient). It's stable, very intuitive and good integrated with Java 1.5 SDK and later.
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  • 7

    MDA

    Molecular Dynamics Analyzer (MDA)

    ...It is capable of minimizing the systematic error that occurs with astigmatism-based 3D techniques owing to the aberrations induced by the refractive index mismatch. In contrast to existing techniques, the method determines the aberration directly from the acquired 2D image stream by exploiting the inherent particle movement and the redundancy introduced by the astigmatism. It does not require additional experimental effort for the user and imaging can directly be started once interesting regions in the sample have been identified. MDA is written in MATLAB and comes with a graphical user interface. The particle fitting routine is provided by an external library written in C. ...
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  • 8

    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.
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  • 9

    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.
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  • 10

    slurp

    IO buffering in parallel environments with large files

    'slurp' and 'glurp' are related utilites that help with buffering of file input and output (IO) in parallel environments with large files. They read and write files using a much larger buffer than typical system and program defaults.
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  • 11
    HiC is high-throughput sequencing technology applied to chromatin conformation techniques. This collection of tools stream-lines the processing of HiC data from raw sequence to contact matrices and beyond.
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  • 12
    EXtensible Instrument Processing Protocol (XIPP) is used to query, configure, and stream data between XIPP-enabled instruments and personal computers on dedicated instrument networks using UDP packets. Cross-platform, C/C++.
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