Showing 6 open source projects for "multi"

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  • 1
    MANTIS R Package

    MANTIS R Package

    Multi-locus ANTIgenic Simulator R-package for multi-strain pathogens

    This repository contains the most updated code version of MANTIS, the Multi-locus ANTIgenic Simulator R-package. MANTIS is developed and maintained by the Evolutionary Ecology of Infectious Disease (EEID) research group at the Department of Zoology, University of Oxford, UK. For theoretical background please refer to 'MANTIS: an R package that simulates multilocus models of pathogen evolution' (https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0598-9 OPEN ACCESS) At the moment, MANTIS is not available on CRAN. ...
    Downloads: 1 This Week
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  • 2

    DESN

    Differential activE sub-Network (DEN): R/Bioconductor based package

    Living cells are complex, dynamic, self-regulatory, interactive systems, showing differential states across time and space. Complexity of cellular systems is highlighted with the multi-layered regulatory mechanisms involving the interactions between bio-molecules (such as DNA, RNA, mi-RNA and proteins). These interactions are analyzed in the form of static networks. Likewise, number of experimental techniques like microarray, RNASeq allows quantification of cellular dynamics and aid in discerning differential gene expression across diverse conditions. ...
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  • 3
    IMPACT is an integrated multi-read peak calling tool for ChIP-Seq data. IMPACT utilizes multi-reads in calling peaks and provides users with high-confidence peaks. In addition, IMPACT provides a completely integrated pipeline which produces downstream analysis results such as motif discovery and peak-to-gene annotation.
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  • 4
    MetaBoFlux
    Metaboflux is a generic approach for predicting flux distribution in metabolic networks under multiple and various constraints deducted from the experiments, to increase the biological relevance of the model.
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  • 5
    Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.
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  • 6
    R Tools for Biologists (RT4Bio) is a multi-functional package writen in R language developed in the Laboratory of Behavioral and Computational Ecology at State University of Montes Claros - MG - Brazil. Formerly known as RRJ.
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