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    Applied Biosystems SNPbrowser Software v3.5

    Category  Genomics>Genetic Data Analysis/Tools

    Abstract  Applied Biosystems SNPbrowser™ Software v3.5 is a tool
    that facilitates the intuitive selection of human SNPs and associated
    TaqMan® SNP Genotyping Assays. It includes visualization of Single
    Nucleotide Polymorphisms (SNPs) integrated with the physical genome
    maps, linkage disequilibrium (LD) maps, and putative haplotype block
    information. The LD and haplotype block information is generated from
    genotypes of over three (3) million SNPs validated by either Applied
    Biosystems or the International HapMap project in a total of five major
    populations.

    Note: This extensive testing resulted in a unique dataset of 650 million
    genotypes, which can be exported to a file even if unassociated with
    Applied Biosystems product offerings.

    SNPbrowser Software contains a library of over six million human
    SNPs, facilitating the knowledge-driven design of association and fine
    mapping studies through the selection of the most informative SNPs for
    meaningful and powerful study results. The software features assay
    product associations for over three million TaqMan® SNP Assays and
    5.6 million SNPlex System-compatible SNPs available from the Applied
    Biosystems online store.

    The TaqMan SNP Genotyping Assay set features a large selection of
    TaqMan Validated, Pre-Designed, and non-synonymous Coding SNP
    Genotyping Assays that are easily identifiable in the SNPbrowser views.
    The software features the complete high quality HapMap SNP set from
    the International HapMap SNP project, including over three million SNP
    assays, offering an offline version of this data that can be supplemented
    with user specific SNPs of interest.

    SNPbrowser Software supports association and fine mapping study
    designs by offering a wide variety of tools to search, view, export SNP
    information, and purchase assays for available SNPs. When selecting
    genomic regions to view, users can apply filter criteria such as product
    associations and SNP minor allele frequency values by populations.

    The software’s Map View also shows gene structure, haplotype blocks,
    and LD values. Views can be customized and saved as user
    preferences for future use. The software allows for multiple window
    views for comparing SNP selection methodologies.

    SNPbrowser also features SNP wizards that perform back end
    calculations to optimize and streamline SNP selections in regions of
    interest. These include a tagging SNP selection wizard and SNP density
    selection wizard. An extensive Help Text file is provided within the tool to
    assist in familiarizing users of the extensive functionality offered.

    Applied Biosystems and HapMap Linkage Disequilibrium Maps --
    Underlying SNPbrowser Software’s visualization tool is a vast amount of
    data including highly informative metric linkage disequilibrium maps.
    This information can be used to select a reduced set of highly
    informative SNPs needed for a genetic association study.

    Linkage disequilibrium (LD) refers to the fact that particular alleles at
    nearby variant sites can co-occur by chance more often than is
    expected. The existence of linkage disequilibrium means that
    genetically-linked SNP markers can be used to discover nearby
    causative mutations that increase susceptibility to disease or adverse
    drug reactions.

    The degree of allelic association is expressed in linkage disequilibrium
    units (LDUs), which represent distances proportional to the strength of
    LD. LDUs are analogous to the centi-Morgan units that are commonly
    used for linkage studies because they provide locations for markers
    with distances that are additive. These units provide a more appropriate
    metric than physical distance to select appropriately spaced subsets of
    SNP markers for genetic association studies.

    Two (2) separate databases of validated SNP genotypes, generated for
    four distinct populations each, are included in SNPbrowser Software.
    Every time SNPbrowser is launched, the user may select which data set
    will be used as the backbone information in computing LD maps,
    putative haplotype blocks, statistical study power, and Tag SNP
    selections. These two (2) databases are:

    1) Applied Biosystems LD Map Database -- During the development of
    the TaqMan Validated SNP Genotyping Assays, Applied Biosystems
    generated the genotype data necessary to empirically create this map.
    The underlying data was derived from 160,000 SNPs in 45 distinct
    individuals from two to four populations including Caucasian, African
    American, Japanese and Chinese.  

    2) HapMap Project LD Map Database -- For this data set, the underlying
    SNP genotype data was obtained from the International HapMap Project
    (www.hapmap.org) for over 3.2 million high quality SNPs genotyped in
    44 to 60 unrelated individuals from four populations including
    Yorubans, Caucasian, Japanese and Chinese.

    SNPbrowser Software v3.5 enables users to locate SNPs of interest by
    supporting search options with respect to chromosomal regions,
    genes, or by entering specific search terms including gene identifiers,
    SNP identifiers or chromosomal locations. A batch search option
    provides a direct route to locating SNPs of interest.

    Filters can be applied and saved to customize the results views based
    on specific needs. These include SNP product associations, minor
    allele frequency values, populations, LD maps, and haplotype (LD)
    blocks, LMS markers, tagging SNP designations, LDU density and
    disease allele associations.

    To support independent researchers, SNPbrowser Software enables
    the import of SNPs from outside sources and incorporates them into
    the view with those in the SNPbrowser database.

    Tools for Tagging SNP Selection and Optimizing Marker Coverage --
    SNPbrowser Software enables the selection of tagging SNPs with the
    inclusion of the tagging SNP selection wizard. Different methods have
    been proposed to select optimal subsets of SNPs, or “tagging” SNPs,
    based on the empirical pattern of LD for a given population and
    genomic region.

    SNPbrowser Software incorporates three (3) tagging SNP algorithms to
    facilitate the selection of tagging SNPs and eliminate SNPs providing
    redundant genetic information. These methods include genotype
    correlation, pair-wise r2 and haplotype R2, and aim to retain the
    statistical power of association achieved for a study while reducing the
    number of SNPs actually genotyped.

    Calculations are performed on-the-fly based on the validated SNPs
    within a selected genomic region, and tagging SNPs are identified on
    the view. Tagging SNP selection results can be exported to a tab
    delimited file that can be configured to include all validated SNPs,
    independent of product associations.

    Through the visualization of physical distances, haplotype block
    boundaries, and linkage disequilibrium units in the SNPbrowser
    Software, researchers can determine if gaps exist in their validated SNP
    collection for the region of interest. SNPbrowser’s SNP density wizard
    assists in filling in these gaps by facilitating SNP selections that are
    evenly spaced between genetic locations and density within regions.
    Alternatively, you can select SNPs in a picket-fence pattern using
    kilobase spacing.

    Power Calculations -- Statistical power is used for finding disease
    susceptibility mutations, using SNP genotyping data generated by either
    Applied Biosystems or HapMap databases. It has been estimated
    based on the empirical genotype data obtained from the respective
    reference population panels. Statistical power is provided on a per gene
    basis, including 10 kb up and downstream of the transcribed region.

    Power calculations are extremely useful at the beginning of association
    studies to answer questions like:
    1) Do you have enough SNPs for the genes that you’re trying to study?
    2) Do you need more samples?
    3) Where do you need to supplement with additional SNPs?

    System Requirements  

    Contact manufacturer

    Manufacturer   Home office; see web site for international locations.

    Applied Biosystems Division Headquarters
    850 Lincoln Centre Drive
    Foster City CA 94404
    U.S.A.
    Phone: 1 650-638-5800, 1 800-327-3002
    Fax: 1 650-638-5884

    Manufacturer's Web Site  http://marketing.appliedbiosystems.
    com/mk/get/snpb_landing#

    Price   Contact manufacturer

    G6G Product Number  20158

    G6G Manufacturer Number 100301
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