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    CGH Explorer

    Category  Genomics>Genetic Data Analysis/Tools

    Abstract  CGH Explorer is analysis software for comparative genome
    hybridization (CGH). This software tool can be used for analyzing two
    color copy number alteration arrays from multiple platforms, including
    Agilent Technologies, Illumina, AffyMetrix, NimbleGen, BioRobotics,
    Combimetrix and others. The software performs raw image analysis
    and gridding eliminating image biases to significantly improving
    analysis accuracy.

    CGH Explorer utilizes genomic DNA from both reference and test
    genome that are labeled with fluorescent dyes. The genomic samples
    competitively hybridize with an array of probes arranged on a substrate.
    The hybridized slide can be scanned evaluating the signal intensity ratio
    for the two (2) dyes to determine the copy number for each DNA
    segment. The majority of microarray platforms use short DNA
    fragments (25–75 base pairs), oligonucleotides, or larger bacterial
    artificial chromosome (BAC) clones of about 100 kilo-base pair (kbp).
    Along with the arrays covering chromosome specific regions, there are
    genome wide arrays used for quick assessment of losses and gains in
    larger regions. In addition, cDNA arrays, originally designed for gene
    expression profiling, are used to evaluate the number of copies in
    coding regions.

    Note: Array Comparative Genomic Hybridization (CGH) is a technique
    for identifying genomic regions with copy number alterations. Deletions,
    duplications, and other types of chromosome instability are associated
    with genetic diseases and somatic alterations in cancer.

    Products features/capabilities include:

    1) CGH Explorer's 'Recap Window' following data processing permits
    rapid review of critical analysis and quality control. All panels, such as
    Raw Image, Quality Control, Feature Statistics, and Log Plot can be
    evaluated in a single glance.

    2) The desired platform (e.g. Agilent Technologies, Illumina, AffyMetrix,
    etc.) can be chosen in AutoRun. The platform associated parameters
    for image processing and data analysis are chosen automatically.
    Parameters can be adjusted to meet an individuals needs, and these
    parameters are saved.

    3) CGH Explorer automatically corrects image biases and filters out all
    low quality features. Two-channel images are aligned, features are
    placed into the grid, local adjustments are made, feature quality is
    assessed and intensities are extracted for each channel.

    4) Automatic Gridding -- The grid is determined by design file
    information. In addition, the position of each cell is automatically
    adjusted. The low intensity spots that do Not satisfy the statistical model
    are filtered out.

    5) Quality Control -- Quality is evaluated for the whole chip through MA
    and scatter plots, in addition to displays of control features and other
    statistics. For each feature several quality score parameters are
    considered for calculating the overall quality score. Each feature is
    assigned as Good, Bad, or To Be Checked.

    6) Interactive Review -- A double mouse click on a data point of the Log
    plot brings the user to the corresponding raw image feature, allowing
    for visual quality evaluation.

    7) CGH Explorer interfaces with an integrated genetic database
    assisting with the quick identification of information such as gene and
    known Copy Number Variations. Comparative analysis of multiple
    projects can be conducted.

    8) Along with the standard copy number variation report, the statistical
    and quality information about each array feature is available. The
    information about each array feature is collected in a table. This
    includes the statistical parameters, genomic information for the probe,
    quality control parameters, and the overall quality score.

    9) Automated Processing -- Batch processing of several projects can
    speed up analysis and free up time by minimizing the need for user
    intervention. The data processing results are saved in project files that
    can be loaded and evaluated at a later time.

    System Requirements  

    OS: Windows 98, NT, XP, Vista
    Processor:  2.8 GHz
    RAM: 2GB CPU
    Available hard disk space: 20GB

    Manufacturer   Home office; see web site for international locations.

    SoftGenetics, LLC.
    Suite 235, 200 Innovation Blvd
    State College, PA 16803
    USA
    Phone: 814-237-9340 or 888-791-1270
    Fax: 814-237-9343
    Email: Technical Service: tech_support@softgenetics.com
    Product Sales and Marketing: info@softgenetics.com

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