Showing 4 open source projects for "cope"

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    COPEread

    Connecting Overlapped Pair-End Reads

    COPE (Connecting Overlapped Pair-End reads) is a method to align and connect the illumina sequenced Pair-End reads of which the insert size is smaller than the sum of the two read length.The connected reads can be used in genome assembly, resequencing and transcriptome research. The full citation: COPE: An accurate k-mer based pair-end reads connection tool to facilitate genome assembly Binghang Liu; Jianying Yuan; Siu-Ming Yiu; Zhenyu Li; Yinlong Xie; Yanxiang Chen; Yujian Shi; Hao Zhang; Yingrui Li; Tak-Wah Lam; Ruibang Luo Bioinformatics (2012) 28(22): 2870-2874; doi: 10.1093/bioinformatics/bts563
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  • 2

    AdPreqFr4SL

    Adaptive Prequential Learning Framework

    The AdPreqFr4SL learning framework for Bayesian Network Classifiers is designed to handle the cost / performance trade-off and cope with concept drift. Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure. Since updating the structure is a costly task, we use new data to primarily adapt the parameters and only if this is really necessary, do we adapt the structure. ...
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  • 3
    PetriNetExec: Java Embeddable Petri Nets

    PetriNetExec: Java Embeddable Petri Nets

    PetriNetExec a library for embedding Petri Nets into Java applications

    ... * PetriNetExec does not provide a GUI for editing the network nor will it provide in the near future. That is not really a feature :-) but to those of you able to cope with this news I suggest to read further; * Petri Nets are created with PetriNetExec by writing Java code and using the provided API; * PetriNetExec provides a simple yet powerful callback mechanism allowing you to actually do something when events are fired and the network status is changing. * PetriNetExec is embeddable into your Java application. ...
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  • 4
    The OsMoSys Framework is a research project implementing a multi-formalism multi-solution framework for defining and analysing complex systems models. It uses model composition to cope with systems complexity.
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