Open Source Unix Shell Bio-Informatics Software for BSD

Unix Shell Bio-Informatics Software for BSD

Browse free open source Unix Shell Bio-Informatics Software for BSD and projects below. Use the toggles on the left to filter open source Unix Shell Bio-Informatics Software for BSD by OS, license, language, programming language, and project status.

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  • 1
    ArrayOligoSelector (AOS) systematically designs gene specific long oligo probes for entire genomes. The program optimizes the oligo selections for several parameters, including uniqueness in the genome, internal repeats, self-binding, and GC content.
    Downloads: 0 This Week
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  • 2
    A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
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  • 3
    Microscopy Image Processing Package
    XMIPP is an image processing suite for 3D-reconstruction of biological specimens from transmission electron microscopy data. NOTE that stable releases (including binaries) are longer stored at Sourceforge, but are available at http://xmipp.cnb.csic.es
    Downloads: 0 This Week
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  • 4
    This project implements an algorithm for segmenting protein sequences into smaller meaningful blocks. The method is based on the pure statistical approach and it uses an analogy between proteins and natural language.
    Downloads: 0 This Week
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  • 5
    TrimAl is a bioinformatic tool that cleans multiple protein or nucleotide sequence alignment. The clean alignment (as a result of the TrimAl cleaning process) is used for phylogenetic reconstruction. TrimAl improves the quality of the reconstructed trees
    Downloads: 0 This Week
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  • 6
    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. The YMAP pipeline automatically illustrates genome-wide information in a single intuitive figure and is readily modified for the analysis of other categories of data and other pathogen species with small genomes.
    Downloads: 0 This Week
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