Showing 11 open source projects for "flat file databases"

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  • 1
    KimBlast

    KimBlast

    Blast+ the easy way

    KimBlast GUI formats and indexes Fasta databases for Blast, performs Blast searches and analyzes results. Python 3.x version. For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/kimblast3/code/ci/default/tree/README.md
    Downloads: 0 This Week
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  • 2
    2DFLT

    2DFLT

    Program for Normalization, Averaging and Editing of In Situ Data Sets

    ...This software allows collecting individual data files from in situ experiment into one dataset. After that this data set can be visualized, edited, normalized and averaged. Resulted data can be saved as one flat file (FLT-format) which can be used for PSD/MED calculations via 2DMED software (http://sourceforge.net/projects/twodmed/?source=directory). 2DFLT specifically was written to target in situ X-ray Powder Diffraction data from synchrotron measurements. Hence it can read CHI, XYE (TOPAS), FXYE(GSAS/ GSASII) and XY- files formats. However it can read general in situ data written into individual TXT or XY – files.
    Downloads: 0 This Week
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  • 3
    2DMED

    2DMED

    Phase Sensitive Detection and Modulated Enhanced Diffraction Software

    2DMED it is the second out of two programs which allows implementation of Phase Sensitive Detection (PSD) and/or Modulated Enhanced Diffraction (MED) techniques on the in situ data. This software takes normalized and averaged in situ data in flat file format (FLT) and performs PSD transformation which has been described in Urakawa, A.et al. Chem. Eng. Science 2008, 63, 4902. User can choose demodulation index k and perform several demodulation calculations. This is extremely important since demodulation calculations at k = 2 on in situ powder diffraction data represent implementation of MED method which been described in Chernyshov, D. et al. ...
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  • 4

    PeptideManager_LRNO

    Unique Peptide Sequence Finder (host background (xenografts) friendly)

    PeptideManager is aimed to help the pre-selection of unique peptide sequences for the design of targeted proteomics approaches. Its main advantage is to allow the presence of a host/background proteome (e.g., xenograft samples) during this peptide sequences selection. PeptideManager can build peptide sequences databases from various public repository (SwissProt/Trembl/UniProt, RefSeq, IPI) and various proteases. For any use, please refer to the publication: doi:...
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  • 5
    ProteoConnections
    ProteoConnections is a bioinformatics platform tailored to address the pressing needs of proteomic analyses. Organise identifications, evaluate the the acquired dataset and accelerate biological interpretation using bioinformatics applications.
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  • 6
    HOPPscore is a simple application for evaluating the structural quality of theoretical or experimental protein structures. Protein are evaluated by comparing structure fragments to a reference dictionary of fragments from high resolution structures.
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  • 7
    DIY Genomics is an open source bioinformatics consortium intended to bring a collection of tools and libraries into the hands of small scale genomics labs for the process of sequence assembly and annotation. Projects include DIYA, MGAP, CRISPR, and DIYGV
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  • 8
    A Folding@Home integrated monitoring environment, designed for Linux, *nix systems and Windows, which is intended to be easy-to-use and provide a flexible, customiseable and "user-friendly" environment for reviewing the status of active F@H clients.
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  • 9
    Mito-MAS-m is a simulator of the mitochondrial inner membrane and the enzymatic complexes embedded in it, implementing a coarse-grained (CG) model of the molecules using rigid structures and Dissipative Particules Dynamics (DPD) as motion equation.
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  • 10
    Protein Folding by Genetic Algorithms uses evolutionary computing methods to predict a tertiary protein conformation using only the known aminoacid sequence of the protein.
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  • 11
    FacScan is a predicting tool of transcription factor binding sites. FacScan scans multiple DNA sequences, e.g. from microarray experiments, for potential binding sites of regulatory transcription factors. Common sites shared by the genes will also b
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