Showing 3 open source projects for "common files"

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    JSON to Go

    JSON to Go

    Translates JSON into a Go type in your browser instantly (original)

    JSON to Go is a browser-based developer tool that converts JSON samples into Go struct definitions. It is designed to save Go developers time when working with APIs, configuration files, or external JSON payloads. Users paste JSON into the tool, and it generates a matching Go type that can be copied into a project. The tool makes reasonable assumptions about field names, types, nested objects, arrays, and struct tags, but it still expects users to review the output before using it in production. It is related to curl-to-go and fits the same lightweight, practical workflow for developers translating common web data into Go code. ...
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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 clade-defining polymorphism. This functionality has been implemented using the tabix tool on the server side, providing simple and rapid access to the information at each tree node, including informative SNPs stored in VCF-similar files.
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  • 3
    Ymap - Yeast Mapping Analysis Pipeline

    Ymap - Yeast Mapping Analysis Pipeline

    Pipeline for large-scale genome changes analysis of genome datasets.

    The active use repository has migrated over to: https://github.com/darrenabbey/ymap The repository here was errantly created with some large binary files included. Attempts to extract the files from the history here have failed. A copy of the history was successfully scrubbed and then hosted at github. -------- Eukaryotic pathogens have complicated and dynamic genomes. To facilitate analysis of copy number variations (CNV), single nucleotide polymorphisms (SNPs), and loss of heterozygosity (LOH) events in Candida albicans, the most common human fungal pathogen, we developed a pipeline for analyzing diverse genome-scale datasets from microarray, deep sequencing, and restriction site associated DNA sequence experiments for clinical and laboratory strains. ...
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