Showing 4 open source projects for "website using python"

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  • 1

    Microarray assosiated motif analyzer

    Cis-element prediction tool from microarray data

    We developed a novel clustering-free method, microarray-associated motif analyzer (MAMA), to predict novel cis-acting elements based on weighted sequence similarities and gene expression profiles in microarray analyses. Simulation of gene expression was performed using a support vector machine and based on the presence of predicted motifs and motif pairs. The accuracy of simulated gene expression was used to evaluate the quality of prediction and to optimize the parameters used in this...
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  • 2
    PhyloTrack

    PhyloTrack

    PhyloTrack, D3.js and JBrowse for phylogeny and positioning of samples

    PhyloTrack is a JavaScript--based software tool that integrates the D3.js library for data visualization with the JBrowse tool for genome browser representation. It requires a phylogenetic tree of the common Newick data format as input, as well as three meta data files for samples, clade-defining nodes and clade color definitions - all in tab delimited format. Functionality within PhyloTrack shows the informative markers at each node in the phylogenetic tree, therefore highlighting...
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  • 3
    Bioinformatic tools for analyzing an orfeome using translated ORFs and compares each ORF to the provided Orfeome/Proteome. Our script uses NCBI BLAST run locally and MySQL as the main engines in a new and interisting way. It is designed specifically for Poxvirus genomes, and provides the VACV-COP nomenclature and Cowpox Ortholog groups per each ORF. The BLAST stats are generated when compared to the Proteome you provide. It can be easily adapted for other genomes.
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  • 4
    Autoprime

    Autoprime

    Automated primer design using EnsEMBL

    AutoPrime allows to rapidly design primers for real-time PCR measurement of eukaryotic expression. By connecting to the EnsEMBL database gene structure information is used to find primers spanning exon borders. This way only expressed sequences are captured. Additionally mispriming on repetitive regions can be avoided using information from RepBase.
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