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  • 1
    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: 500 This Week
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  • 2
    MicrobialChemostatSimulation

    MicrobialChemostatSimulation

    Computer Lesson and Simulation of Bacterial Chemostat and Chemotaxis

    ...The 2a version has been updated to 2b. 2b has improved Graphs. The APP to runs under Windows 10. Download CheStatWH2aSETUP.exe gives a Width to Height ratio of 100 to 1000 in the Visual Simulations.
    Downloads: 2 This Week
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  • 3
    IPAS for protein sequences

    IPAS for protein sequences

    multiple alignment algorithm for protein sequences

    IPAS is a new and practial protein multiple sequence alignment algorithm based on iterative progresive alignment algorithm Assessed on BAliBASE 3.0, PREFAB 4.0, SABMARK 1.65, and OXBENCH, MSAProbs achieves the statistically highest alignment accuracy, compared to ClustalW 2.0.10, MAFFT 6.717( using L-INS-i with --maxiterate = 1000), MUSCLE 3.8.31, ProbCons 1.12, and Probalign 1.3.
    Downloads: 0 This Week
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  • 4

    PSICOV

    The unofficial binary for PSICOV: Protein Sparse Inverse COVariance

    PSICOV (Protein Sparse Inverse Covariance estimation program) is a coevoultion algorithm applied to very large (typically >=1000 sequences) multiple sequence alignments for precise protein structural contact prediction. This is the unofficial precompiled Windows binary for PSICOV compiled by Chengxin Zhang at Fudan University. The source code is copyrighted by David T. Jones, University College London.
    Downloads: 0 This Week
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  • 5
    Ionwinze

    Ionwinze

    Spot the differences between samples, groups and classes

    ...These traits are determined by the different levels of specific metabolites which may show up only as very small peaks. How would it be possible to spot an important metabolite or two, from 1000’s that occur in cells and tissues? If those truly relevant metabolites were missed during peak-picking then the following stats, however sophisticated they may be, would fail. And how many peaks are there in a single LCMS run? How can the important metabolites be represented in the top 100 or even 10000 peaks? This project tries to address these issues.
    Downloads: 0 This Week
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  • 6
    vcftools
    A set of tools for working with VCF files, such as those generated by the 1000 Genomes Project. This project is migrating to github: https://vcftools.github.io/
    Downloads: 24 This Week
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  • 7

    UniPyRange

    Tool to fetch protein/DNA truncation constructs from Uniprot DB

    Very simple python script which saves you the pains of counting the amino acids/DNA bases in fasta files from the Uniprot and NCBI RefSeq Database (1, 2). Lets say you want the amino acid sequence of range 128-387 from a 1000 amino acid protein - this script will help you to avoid counting mistakes by just showing you the specified sequence in amino acids and coding DNA base pairs (ideal for amplification primer design) of a specified Uniprot ID. - Requires BioPython (3) and Bioservices Package (4) (1) The UniProt Consortium UniProt: a hub for protein information Nucleic Acids Res. 43: D204-D212 (2015)...
    Downloads: 0 This Week
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