Pathway Analysis, Canonical Pathways, Overlapping Pathways, Pathway Import and scoring. Determine most significantly affected pathways. Analyze your data in the context of established signaling and metabolic pathways. Determine the most significantly affected pathways and those that are predicted to be activated or inhibited. Determine which pathways overlap based on molecules in common.
Interrogate sub-networks and Canonical Pathways and generate hypotheses by selecting a molecule of interest, indicating up or down regulation, and simulating directional consequences of downstream molecules and the inferred activity upstream in the network or pathway.
Automatically generate plausible signaling cascades describing potential mechanism of action leading to observed gene expression changes.
Identify whether significant downstream biological processes are increased or decreased based on gene expression results.
Build and explore transcriptional networks, microRNA-mRNA target networks, phosphorylation cascades and Protein-Protein or Protein-DNA interaction networks. Identify regulatory events that lead from signaling events to transcriptional effects. Understand toxicity responses by exploring connections between drugs or targets and related genes or chemicals. Edit and expand networks based on the molecular relationships most relevant to the project.
Quickly visualize trends and similarities across analyses using heat maps for Canonical Pathway, Downstream Effects, Upstream regulators and Causal Network Analyses. Prioritize by score, hierarchical cluster or trend.
Reduce the number of steps it takes to confidently, quickly, and easily identify mRNA targets by letting you examine microRNA-mRNA pairings, explore the related biological context, and filter based on relevant biological information as well as the expression information. The microRNA Target Filter in IPA provides insights into the biological effects of microRNAs, using experimentally validated interactions from TarBase and miRecords, as well as predicted microRNA-mRNA interactions from TargetScan. Additionally, IPA includes a large number of microRNA-related findings from the peer-reviewed literature.
Understand the structure and function of both human and mouse isoforms (splice variants). For each gene, toggle between human or mouse RefSeq and Ensembl to visualize associated isoforms on the Isoform View.
Provides details associated with the disease or biological function such as molecules associated with that disease or function, known drug targets, drugs known to target those molecules, and more.
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's Search & Explore capabilities offer researchers access to the most current Findings available on genes, drugs, chemicals, protein families, normal cellular and disease processes, and signaling and metabolic pathways.
Interactive visual exploration of causality between molecules and disease, function, or phenotypes from a network or My Pathway.
Rapidly identify the best biomarker candidates based on biological characteristics most relevant to the discovery study.
Transform your networks and pathways in IPA into publication-quality pathway graphics rich with color, customized text and fonts, biological icons, organelles, and custom backgrounds. Expand and explore pathways using the high quality content stored in IPA.
© QIAGEN 2016. All rights reserved - Trademarks & Disclaimers