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    Ingenuity Pathways Analysis 5.5

    Category  Cross-Omics>Pathway Analysis/Tools

    Abstract  Ingenuity Pathways Analysis 5.5 (IPA) is an advanced
    pathway analysis system solution. You can use IPA to model, analyze
    and understand the complex biological systems at the core of your
    research. IPA leverages one of the worlds largest and highest quality
    knowledge bases of biological networks, advanced algorithms and an
    easy-to-use software interface to provide you with the insights and
    confidence to make better and faster decisions at every step of your
    research. IPA is available as a web-delivered, hosted, or deployed
    solution. Products features/capabilities include:

    Search -
    Use Search to - 1) Look for information on genes and chemicals, their
    impact on diseases and cellular processes, and their role in pathways;
    2) Build interactive pathways representing the key genes, chemicals,
    and processes in experimental systems of interest; 3) Validate
    experimental assumptions; 3) Get up to speed quickly, and stay current
    in a new research area; 4) Understand the biological effects of
    chemicals. With the new, expanded chemical content of IPA, you can
    search for genes or chemicals that are - 1) Localized to a specific cell
    compartment; 2) Targeted by FDA approved drugs or clinical
    candidates; 3) Involved in a particular disease or process; 4) Members
    of a specific protein or chemical family; 5) Most relevant by running
    combinations of searches to rapidly generate lists of genes with
    biological characteristics.

    ChemView -
    ChemView provides access to chemical content describing therapeutic
    information, target protein, toxicity, bioavailability, LD50, PK/PD,
    metabolism, CAS number, synonyms (including systematic name and
    brand names for drugs), chemical formula, and SMILES notation. You
    can - 1) Utilize the chemical content to build pathways and working
    models representing compound mechanism of toxicity and mechanism
    of action; 2) Include chemicals when generating networks and
    analyzing datasets; 3) Add chemicals to custom pathways.

    Dynamic Signaling & Metabolic Pathways -
    You can use IPA’s extensive library of well-characterized signaling and
    metabolic pathways as a starting point for exploration and a bridge
    between novel discovery and known biology. You can layer in novel
    insights, drugs, and ‘omics data; You can also - 1) Explore beyond the
    boundaries of well-characterized signaling and metabolic pathways to
    incorporate the molecular relationships that are the most relevant to the
    experimental system being studied; 2) Customize pathways using IPA’s
    extensive molecular interaction content; 3) Understand chemical effects
    on genes; find upstream activators, and downstream transcriptional
    targets of pathways; 4) Drill down to the supporting evidence from the
    scientific literature; 5) Layer in expression, proteomic, and copy number
    data.

    My Pathways & Lists -
    You can build custom libraries of pathways representing mechanism of
    action and mechanism of toxicity. Create custom, literature-supported
    signaling pathways with proteins of interest. Store collections of custom
    pathways and lists for subsequent IPA Core, IPA-Tox, or IPA-Biomarker
    analyses. You can use the Grow and Connect tools to edit and expand
    networks based on the molecular relationships most relevant to the
    project - including 1) Transcriptional networks; 2) Phosphorylation
    cascades; 3) Protein-Protein of Protein-DNA Interaction Networks; 4)
    Chemical effects on proteins. You can use Search results as building
    blocks for custom pathways to - 1) Identify cross-talk between biological
    processes and pathways; 2) Understand whether gene lists and
    signatures are tightly connected.

    Path Explorer -
    Can be used to - 1) Find relevant regulatory paths and physical
    interactions between genes of interest; 2) Find biological paths that
    connect one set of genes to another; 3) Identify regulatory events that
    lead from signaling events to transcriptional effects.

    Analyze and Interpret Data -
    IPA helps you derive maximum benefit from data generated by various
    large-scale technologies, including gene expression and SNP
    microarrays and proteomics experiments, and small-scale experiments
    that generate gene lists. With IPA, you can understand the biological
    impact due to time and dose effects, and identify key mechanistic
    differences between various patient populations.

    IPA Core Analysis -
    IPA delivers a rapid assessment of the signaling and metabolic
    pathways, molecular networks, and biological processes that are most
    significantly perturbed in the dataset of interest. The key components of
    the IPA Core Analysis are - 1) Signaling and Metabolic Pathways
    Analysis; 2) Cellular and Disease Process Analysis; 3) Molecular
    Network Analysis. These capabilities enable you to - a) Analyze data in
    the context of molecular mechanisms; b) Relate molecular events to
    higher-order cellular and disease processes; c) Understand the
    relevance to organismal physiology and pathophysiology; d) Visualize
    time course and dose response effects; e) Interpret and integrate data
    from multiple platforms (e.g., genomics, proteomics, genotyping) and
    with mixed identifiers.

    IPA-Tox Analysis -
    IPA-Tox uses Toxicity Functions in combination with Toxicity Lists to link
    experimental data to clinical pathology endpoints, understand
    pharmacological response, and support mechanism of action and
    mechanism of toxicity hypothesis generation.

    IPA-Biomarker Analysis -
    IPA-Biomarker identifies the most biologically relevant and promising
    molecular biomarker candidates from datasets generated at every step
    of the drug discovery process.

    Data Upload Wizard - Can be used to quickly upload data from multiple
    formats without time-consuming data formatting steps. And, analyze
    datasets with mixed gene and protein identifiers.
    Analysis Summaries - Creates an automated, focused, and
    summarized output of analysis results.

    Communicate and Collaborate - IPA’s tools and pathways can be used
    to share hypotheses and insights with other research teams and
    collaborators. Integrate knowledge from multiple sites and data
    repositories and share findings of interest in order to streamline the
    workflow and communicate more easily with colleagues.

    Share - Can be used to invite collaborators to review and integrate
    analysis results and pathways.

    Report - Can be used to export results, tables of annotations,
    bibliographies, and high-resolution images to include in reports and
    presentations.

    Interactive Pathways - Can be used to insert fully referenced pathways
    that provide access to the underlying biological information into e-mails
    or presentations.

    Application Programming Interfaces (APIs) - Can be used to integrate
    IPA with in-house software applications.

    Integration - IPA can be integrated with 3rd party software tools to
    streamline workflows.

    IPA’s Knowledge Base -
    Biological and Chemical Information - IPA’s expert-extracted content
    includes modeled relationships between proteins, genes, complexes,
    cells, tissues, drugs, and diseases.

    Additional Sources Beyond Literature Findings -
    In addition to expert extraction of findings from the literature, IPA
    includes content from high quality databases such as - EntrezGene,
    RefSeq, OMIM, Gene Ontology, Gene Expression Body Atlas from GNF,
    KEGG (metabolic pathways) and LIGAND (enzyme/substrate reactions).
    IPA also contains key findings and relationships curated by Ingenuity
    scientists that describe - FDA approved drugs and clinical candidates,
    Cell Signaling Pathways, and Toxicity Lists and Pathways. And more.

    Note: See Ingenuity Pathways Knowledge Base (G6G Product Number
    20018) for additional info.

    System Requirements  

    Operating System
    Vista, Windows XP and Macintosh 10.3.9, 10.4.10.

    Web Browser
    Internet Explorer 6.0 or higher. Firefox 1.5 or higher is recommended.
    For Mac OS, Safari.

    Memory
    Minimum of 512MB RAM (1GB RAM recommended).

    Java Runtime Environment
    Version 1.4.2 or higher. Ingenuity Pathways Analysis can be accessed
    as a web-hosted or a deployed solution.

    Manufacturer   Home office; see web site for international locations.

    Ingenuity Systems, Inc.
    1700 Seaport Blvd. Third Floor
    Redwood City, CA 94063
    Tel: 650.381.5100
    Fax: 650.381.5190
    Email: info@ingenuity.com
    support@ingenuity.com

    Manufacturer's Web Site  www.ingenuity.
    com/products/pathways_analysis.html

    Price  Contact manufacturer

    G6G Product Number  20017

    G6G Manufacturer Number  101440
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