Showing 5 open source projects for "k-meleon"

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  • 1

    PB-sQF_BacterialTyping

    Bacterial Typing from either assembled or raw short reads file

    Probability Binning - signature Quadratic Form, PB-sQF, types unknown sequence to one of the 628 bacterial library genomes which gives the smallest test statistics thus most similar library strain. The input file is the k-mer counts of the unknown assembled genome sequence or raw short reads file in decimal format generated by KAnalyze developed by P. Audano et al. (https://sourceforge.net/projects/kanalyze/). The download included the library index, the library name and sample unknowns.
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  • 2
    An implementation of the Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method for MATLAB and R. The supplied functionality includes e.g. cross-validation, kernel parameter optimization, model diagnostics and plot tools.
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  • 3
    SBEToolbox

    SBEToolbox

    Systems Biology and Evolution Toolbox (SBEToolbox).

    ... MIGRATED TO GITHUB FOR FUTURE UPDATES: https://github.com/biocoder/SBEToolbox/releases ******************************************************************************************************************************** Reference ( In Press ): ================= Konganti K, Wang G, Yang E, Cai JJ* (2013). SBEToolbox: a Matlab toolbox for biological network analysis. Evolutionary Bioinformatics, 8:1-15
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  • 4

    DyMMM

    Dynamic Multispecies Metabolic Modeling framework

    The Dynamic Multispecies Metabolic Modeling (DyMMM [dĭm]) framework is a mathematical modeling tool that integrates multiple constraint-based metabolic models into a single dynamic community metabolic model. The DyMMM framework was formerly known as the DMMM framework. Please use the following citation for bibliographical purposes: Zhuang, K., Izallalen, M., Mouser, P., Richter, H., Risso, C., Mahadevan, R., & Lovley, D. R. (2011). Genome-scale dynamic modeling of the competition between...
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  • 5

    ISAD

    Individual Synaptic Activity Detection (ISAD)

    ISAD is a peak detection software that detects individual (pre-)synaptic activity in microscopy images from neuronal cultures transfected with pHluorin. It computes synaptic signals from automatically segmented regions of interest and detects peaks that represent vesicle fusion events, thus, pre-synaptic activity. ISAD is based on MWA, which is a continuous wavelet transform based algorithm that employs multiple wavelets and is published as: Sokoll, S., Tönnies, K., and Heine, M. Detection...
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