Next-gen pathway analysis using Advaita’s proprietary “Impact Analysis" method to identify significant pathways without all the noise found in other approaches. Publication-ready results in minutes.
Now you can analyze individual genes and learn about miRNAs, ontologies, pathways, SNPs, drugs and diseases associated with them through various public databases. iPathwayGuide provides a user-friendly interface to investigate the genes of your interests, saving valuable time and effort.
Impact Analysis quickly identifies significantly impacted pathways based on two forms of evidences: Over Representation Analysis, and Accumulated Perturbation Analysis. iPathwayGuide is the only pathway analysis tool that considers type, function and interactions between genes in the pathway at a systems biology level. Now you can identify SNPs, miRNAs, drugs and diseases associated with genes and pathways by simply clicking on the genes on pathway images.
Gene Ontology (GO) Analysis
iPathwayGuide analysis includes GO analysis for the three domains:
molecular functions, and;
Choose from a variety of correction factors including Elim and Weight pruning methods that take hierarchical relationships into consideration. Identify and explore annotated genes, and view hierarchy plots of the various GO terms.
Predicted miRNA Analysis
iPathwayGuide provides a novel predicted micro RNA (miRNA) analysis based on your gene-expression or protein-expression data.
This analysis allows you to identify miRNAs that may be active in your conditions, identify targets, and generate new hypotheses.
iPathwayGuide analysis includes finds enriched diseases under the ICD-10 classification. Quickly zoom in on groups of diseases and see significantly expressed genes from your data that are annotated to each disease. Choose from a variety of correction factors including FDR. Identify and explore annotated genes, references, and more.
iPathwayGuide is the only platform that allows for a meta-analysis across multiple conditions. Quickly identify genes, pathways, micro RNAs, GO terms, or diseases that may be in common or unique across your data. You can even build custom meta-analyses based on other data sets you may already have.
iPathwayGuide brings the most advanced pathway analysis platform to web. Unlike other pathway analysis applications that assume all genes to be independent, iPathwayGuide considers the size, role, and position of each gene on the pathway as it models high-throughput sequencing data. This advanced approach allows users to quickly prioritize targets and pathways, avoiding false positive and false negative results.
Things to note:
iPathwayGuide currently supports Human, Rat, and Mouse, refer to FAQs
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