Showing 4 open source projects for "termanal only linux"

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  • 1
    iCn3D

    iCn3D

    Web-based protein structure viewer and analysis tool

    "I see in 3D" (iCn3D) Structure Viewer is not only a web-based 3D viewer, but also a structure analysis tool interactively or in the batch mode using NodeJS scripts based on the npm package icn3d. iCn3D synchronizes the display of 3D structure, 2D interaction, and 1D sequences and annotations. Users' custom displays can be saved in a short URL or a PNG image. The complete package of iCn3D including Three.js and jQuery is in the directory "dist" after you get the source code with the "Code"...
    Downloads: 1 This Week
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  • 2
    Jmol

    Jmol

    An interactive viewer for three-dimensional chemical structures.

    Over 1,000,000 page views per month. Jmol/JSmol is a molecular viewer for 3D chemical structures that runs in four independent modes: an HTML5-only web application utilizing jQuery, a Java applet, a stand-alone Java program (Jmol.jar), and a "headless" server-side component (JmolData.jar). Jmol can read many file types, including PDB, CIF, SDF, MOL, PyMOL PSE files, and Spartan files, as well as output from Gaussian, GAMESS, MOPAC, VASP, CRYSTAL, CASTEP, QuantumEspresso, VMD, and many other...
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    Downloads: 882 This Week
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  • 3
    FungiRegEx

    FungiRegEx

    FungiRegEx

    This tool is a web-based search engine for regular expressions in the proteomes, all the information is obtained from the JGI (Joint Genome Institute) database through a scraper for all the available species; therefore this tool only considers fungi organisms. In this version, we use React JS in front-end and NodeJS + Express for back-end. Full Documentation Available on: https://victormiguelterronmacias.slite.page/p/J7BJU3hXhd72EJ/FungiRegEx-Software-documentation If you want to...
    Downloads: 0 This Week
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  • 4
    gsasnp2

    gsasnp2

    PubMed ID: 29562348 / DOI: 10.1093/nar/gky175

    * GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data...
    Downloads: 1 This Week
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