Showing 3 open source projects for "rule"

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  • 1

    DEEP

    Differential Evolution Entirely Parallel Method

    ...The Differential Evolution Entirely Parallel method takes into account the individual age, that is defined as the number of iterations the individual survived without changes. The introduced improvements are: (I) allow several oldest individuals to be overwritten by the same number of best ones in the population, (II) new selection rule uses several objective functions in offspring evaluation. RPMs are available at https://build.opensuse.org/project/repositories/home:mackoel:compbio This work is supported by RNF Grant 14-14-00302 and by “5-100-2020” Program of the Russian Ministry of Education and Science. The previous funding included SYSPATHO FP7 project №260429, RFBR grants 10-01-00627-a, 11-01-00573-a, 11-04-001162-a and State Contract with Russian Ministry of Science №14.740.11.0166 and №11.519.11.6041
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  • 2

    ISVASE

    identification of sequence variant associated with splicing event

    ...We developed ISVASE, a simple and convenient tool for identifying SVASE directly using RNA-seq data. Comparing with the existing software PVAAS, our method has several advantages such as stringent rule-depended filters and statistical filters in each step, detection sequence variants for known splicing events, identification sequence variants in two parts of splicing (junction) separately, detection junction shift events if providing known splicing annotation, evaluating splicing signal, comparing with known DNA mutation and/or RNA editing data, and short running time.
    Downloads: 1 This Week
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  • 3

    REDO

    REDO - RNA Editing Detection in Organelle

    REDO is a comprehensive application tool for identifying RNA editing events in organelles based on variant call results (VCF files). It is a suite of Perl scripts and can work easily and directly in any operating system installed Perl and R Environment. The stringent rule depended filters and statistical filters are used in REDO for reducing false positive rate. It can provide detailed annotations, statistics and figures for RNA editing sites. REDO also can detect RNA editing events in multiple samples simultaneously and identify differential proportion of RNA editing events in different samples. Moreover, the genome variation can be easily removed by a subprogram fish.pl in our package.
    Downloads: 0 This Week
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