Showing 4 open source projects for "sub"

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  • 1

    Taxoblast

    Taxoblast is a pipeline to identify contamination in genomic sequence

    ...In this context it is essential to distinguish between horizontal gene transfers and contamination. The genomic context of sequences can help distinguish the two scenarios. Taxoblast splits genomic scaffolds into sub-sequences of defined length and for each of them determines the closest related taxon. It then summarizes this information for the entire scaffold, taking into account the taxonomic ontology. Scaffolds that exclusively match potential contaminants may be safely removed while sequences matching partially contaminants and partially the target organism may constitute horizontal transfers or assembly artifacts and need to be examined manually.
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  • 2
    Protein Microarray Analyser

    Protein Microarray Analyser

    Protein microarray data processing and normalization

    The Protein Microarray Analyser software presented here includes the following tools: (1) neighbourhood background correction, (2) net intensity correction, (3) user-defined noise threshold, (4) user-defined CV threshold amongst replicates and (5) assay controls, (6) composite ‘pin-to-pin’ normalization amongst sub-arrays, and (7) ‘array-to-array’ normalization amongst whole arrays.
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  • 3
    TreeLiker

    TreeLiker

    TreeLiker is a collection of fast algorithms for working with complex

    ...In experiments with real-life data, the algorithms were shown to be able to construct complete non-redundant sets of patterns for chemical datasets involving several thousands of molecules as well as for comparably large datasets from genomics or proteomics. The included relational learning algorithms are tailored towards so-called tree-like features for which some otherwise very hard sub-problems (NP-hard) become tractable.
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  • 4
    The final build of this software now is distributed in R, embedded in "RedeR': an R/Bioconductor package for hierarchical and nested network analysis... more about RedeR: http://bioconductor.org/packages/2.9/bioc/html/RedeR.html
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