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    Partek Genomics Suite

    Category  Genomics>Gene Expression Analysis/Profiling/Tools

    Abstract   Partek Genomics Suite (Partek GS) is a comprehensive
    suite of advanced statistics and interactive data visualization
    specifically designed to reliably extract biological signals from noisy
    data. Designed for high-dimensional genomic studies containing
    thousands of samples, Partek GS is advanced, memory efficient and
    will analyze large data sets on a personal computer. It supports a
    complete workflow including convenient data access tools,
    identification and annotation of important biomarkers, and construction
    and validation of predictive diagnostic classification systems. Product
    is Affymetrix GeneChip-compatible for gene expression, exon,
    chromosomal copy number analysis, tiling and SNP analysis, and can
    import data from .CEL, .CHP, .CNT (CNAT), and plain text file formats,
    while automatically providing links to NetAffx, UCSC Genome Browser,
    IGB, and other internet databases. With Partek GS, you can import and
    analyze gene expression or other genomic data, reliably identify and
    annotate the genes or biomarkers of interest, and share findings with
    other researchers in your organization with information rich graphical
    displays.

    Optimized for Affymetrix Technologies -

    Product integrates advanced statistics and interactive visualization to
    extract meaningful patterns that are hiding in your data. It can import
    and analyze raw and processed data from all major Affymetrix
    GeneChip technologies, including gene expression arrays, exon
    arrays, 10K, 100K, and 500K mapping arrays, SNP 5.0 and SNP 6.0
    arrays, and promoter and full tiling arrays.

    Partek GS consists of 1) Partek GS for Gene Expression Data, 2) Partek
    GS for Exon Data, 3) Partek GS for Copy Number Data, 4) Partek GS for
    Promoter Tiling Data, and 5) Partek GS for SNP Association Studies.

    1) Partek GS for Gene Expression Data -

    a) Offers the ability to quickly and reliably identify patterns in your
    genomic data - Biological signals in genomic data is often hidden in a
    sea of noise. Biological factors such as dose, time, and phenotype
    combine with technical factors such as sample processing batches,
    and often obscure the important signals the biology is sending. The
    ability to draw reliable conclusions from today’s genomic studies
    requires that major factors influencing the data be identified and
    undesired effects removed revealing the true biological signals. With
    Partek GS, biologists, bioinformaticists, and statisticians have a single,
    integrated solution to the genomics data analysis bottleneck that
    produces trustworthy results.

    2) Partek GS for Exon Data -

    a) Detect Gene-Level, Exon-Level, and Alternative Splice Expression
    Patterns - It provides rigorous and easy-to-use statistical tests for
    differential expression of genes or exons, and a flexible and advanced
    statistical test to detect alternative splicing based on a mixed model
    analysis of variance. In addition, the Partek Genome Browser can
    display exon-level events such as alternative splicing and differential
    expression.

    b) Build & Validate Diagnostic & Prognostic Classifiers - The
    Automated Model Selection tool in Partek GS will find an optimal set of
    predictive genes or exons, the best classifier, and optimal tuning
    parameters to obtain the best prediction possible from your data.

    c) Import & Normalization of High Density GeneChip Exon Arrays - The
    Affymetrix Exon array provides incredible detail about the genomic
    expression of a sample, with more than 5 million probes and more
    than 1 million exons per array! Since simple pre-filtering to exclude low
    expressed probes or exons may ignore alternative splicing, product
    has been optimized to process and analyze all exons on the array at the
    probe level, exon level, or gene level.

    3) Partek GS for Copy Number Data -

    a) Identify Regions of Chromosomal Amplification/Deletion & LOH
    using Robust Statistical Methods - Products statistical and visual
    features offer the ability to detect, display, and report on regions of
    amplification or deletions on the genome. In addition, regions of
    interest that differ between drug responders and non-responders can
    be identified using proven statistical methods.

    b) Build & Validate Diagnostic & Prognostic Classifiers - The
    Automated Model Selection tool in this product will find an optimal set
    of predictive genes, SNPs, or exons, the best classifier, and optimal
    tuning parameters to obtain the best prediction possible from your
    data. Using Partek’s Model Selection Tool, you can build accurate
    diagnostic or prognostic prediction models based on copy number,
    LOH, or raw SNP expression values.

    4) Partek GS for Promoter Tiling Data -

    a) Identify Protein/DNA Binding Sites from ChIP on Chip Studies using
    Robust Statistical Methods - Partek GS statistical and visual features
    offer the ability to detect, display, and report on mapping sites of
    protein/DNA interaction in ChIP on Chip experiments. Seamlessly
    import from .CEL files, normalize to baselines samples, statistically
    detect regions of binding, map regions to genes, SNPs or sequences,
    and visualize genomic location of features.

    b) Import All Probes from the Promoter Tiling Array - Product can import
    all 4.6 million probes from the Human Promoter Tiling Array allowing
    you to analyze the data in full and Not in batches, eliminating potential
    errors and wasted time.

    5) Partek GS for SNP Association Studies -

    a) Identify SNPs of Interest in Genotyping Data using Robust Statistical
    Methods - It supports single/multiple SNP association tests performed
    on allele, genotype, and dominant/recessive models. Confidently
    analyze your genotyping data using such statistical tests as Chi2,
    Hardy-Weinberg Equilibrium, and Linkage Disequilibrium. Receive
    accurate estimation of p-values in even the smallest datasets using
    Monte Carlo tests. Explore data with tabular analysis as well as visual
    analysis tools including frequency plots, biplots, and heat maps, which
    can be used to visualize linkage disequilibrium within the data.

    System Requirements  

    Supported Operating Systems

    Windows - Vista/XP/2000, Red Hat Linux - 7.x/9.x/EL3, Macintosh -
    coming soon!

    Minimum System Requirements

    256 MB RAM, 120 MB free disk space, 16-bit color, 1024x768 screen
    resolution, 1 GHz CPU

    Manufacturer   Home office; see web site for international locations.

    Partek Incorporated
    12747 Olive Blvd., Suite 205
    St. Louis, Missouri 63141
    U.S.A.
    Tel: +1 314-878-2329       
    Fax: +1 314-275-8453
    Email: sales@Partek.com, support@Partek.com

    Manufacturer's Web Site  www.partek.com/partekgs

    Price  Contact manufacturer

    G6G Product Number  20023

    G6G Manufacturer Number  102061
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