Showing 5 open source projects for "shell web"

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  • 1

    openSEQ

    NGS compute distro proloaded with pipeline analysis software

    Forked Ubuntu 14.04 minimal install with XOrg and FluxBox desktop environment for web-based pipeline construction and job submission. HOWTO: 1) Set VM network settings to a bridged adapter type. 2) Load VM to client 3) From host: $ ssh -X ubuntu@<foobar> 'firefox && butterfly.server.py --unsecure' --- passwd = 616287xx 5) or ssh into host with X forwarding, and type runme This will launch an X-session of Firefox on the client, which will then be forwarded to the host. The...
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  • 2
    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...
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  • 3
    wEMBOSS is a Web interface for the EMBOSS software package for biological sequence analysis. Under wEMBOSS each user has a private workspace (UNIX home directory) on the server, where he can permanently store his data and organize them in projects. The companion suite wrappers4EMBOSS allows to integrate under EMBOSS a number of popular bioinformatic software suites as BLAST, CLUSTAL and MRS.
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  • 4
    TreeBASE is a database and web front end that stores phylogenetic trees and the data matrices used to generate them. The current iteration comprises a complete rewrite of the schema and web layer, and will include a web services layer.
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  • 5
    The Integrative Biology VRE is a web-based graphical user interface and repository that provides an environment where biological simulation experiments can be constructed without the need for any knowledge of unix, cluster computing, or shell scripting.
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