Advanced Pathway Analysis for Deep Biological Insights

Turn multi-omics datasets into biologically meaningful results using iPathwayGuide™, our pathway analysis platform created by scientists for accuracy, speed, collaboration, and ease of use.

biological-insights displayed on a monitor
Download Brochure
biological-insights displayed on a monitor

Comprehensive molecular pathway analysis without fragmented workflows

Commonly used pathway analysis methods treat pathways as simple buckets of genes, ignoring the biological processes they impact. In addition, existing pathway analysis solutions have clunky interfaces, deliver inconsistent results, and require significant coding expertise. At Advaita, we developed iPathwayGuide™ to move researchers beyond basic enrichment tools by considering the size, role, interaction directionality, and position of each gene within the pathway. Built for ease, our platform allows you to quickly identify:

iPathwayGuide™ Overview Video

  • Genes.
  • Pathways.
  • MicroRNAs.
  • Gene ontology (GO) terms.
  • Diseases that may be common or unique across your data.

Watch the video for a quick overview of iPathwayGuide™.

Get a clearer picture of biological mechanisms with impact analysis

iPathwayGuide™ employs a proprietary Impact Analysis® method that assesses the type, direction, function, and network position of each gene within a pathway to identify the ones that are truly important in your experiment while minimizing false positives. Our patented approach adopts systems biology to deliver a clearer understanding of biological mechanisms than Over-Representation Analysis (ORA) or basic enrichment tools. You can even build custom meta-analyses from your existing datasets.

Input

Data Types

Gene expression/Transcriptomics

  • mRNA (RNA-seq)
  • Total RNA (RNA-seq)
  • mRNA (microarrays)
  • mRNA (Nanostring)

Proteomics

  • Protein (mass spec)
  • Protein (Nanostring)
  • Phosphor-protein

Epigenomics

  • ChIP-seq
  • ATAC-seq
  • RBRS
  • Hi-C

Methylomics

Other

  • User-defined data type
pathway analysis software for RNASeq analysis Advaitabio

Impact Analysis

+

Knowledge Bases + Data Bases

Output

Access up-to-date gene annotations including miRNAs, biological processes, cellular components, pathways, SNPs, drugs, diseases, etc. iPathwayGuide™ provides a user-friendly interface to investigate the genes of your interests, saving valuable time and effort. Our gene annotations come from many public data sources, as well as literature mining. Our literature knowledge base is updated daily and may include recent papers that are not yet available from NCBI.

Our proprietary analysis includes high specificity and least common denominator pruning methods that will take you straight to the handful of processes that really matter. Customize figures, from content to colors, and download publication-ready graphics straight from the software!

Eliminate false positives and correctly identify significantly impacted true positive pathways! Our proprietary Impact Analysis quickly identifies the significantly impacted pathways based on two forms of evidences: Over Representation Analysis, and Perturbation Analysis. iPathwayGuide™ is the only pathway analysis tool that uses a system biology approach and includes in the analysis the type, function and interactions between the genes on all pathways.

iPathwayGuide™ can predict micro RNA activity from your existing mRNA or protein abundance data. This analysis allows you to identify miRNAs that may be active in your conditions, identify targets, and generate new hypotheses.

Pathway analysis of expression profiling data can provide a comprehensive understanding of the mechanisms of drug action and resistance at the molecular level. However, most pathway analysis tools are limited in their ability to predict drug response using enrichment-based methods. Our Impact Analysis approach to pathway analysis of gene expression profiling data provides a comprehensive method to assess therapeutic response by predicting downstream effects propagated from the measured molecular changes between treated and untreated phenotypes.

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.

Watch our webinar in which we provide an in depth overview of iPathwayGuide™, feature applications, and showcase how easy it is to perform advanced analyses.

Discover bioinformatics designed for biologists

iPathwayGuide™ gives researchers a more precise and biologically grounded understanding of their data. Every feature is built to accelerate analysis while improving interpretability and scientific confidence.

Web-based application,
no installation needed

Easy to use interface,
no bioinformatics knowledge needed

Generate publication-ready figures and detailed reports

Share results securely
with collaborators

Daily-refreshed, multi-source literature intelligence

Flexible pricing

Drive scientific discovery forward across transcriptomics, multi-omics, and systems biology

iPathwayGuide™ supports a wide range of research applications, such as:

  • Deeper biological interpretation of high-throughput data in cancer, immunology, pharmaceuticals, and many more key research areas
  • Drug selection, screening, and druggable target prioritization
  • Upstream regulator and mechanism-of-action predictions
  • Biomarker discovery across conditions or timepoints

Download our poster to learn how iPathwayGuide™ enabled drug response prediction for single agent versus combination treatments in melanoma or click below to review our extensive list of publications.

scientific poster highlighting predicted drug response

Start Using iPathwayGuide™ Today

Getting started is fast and simple. iPathwayGuide™ is cloud-based and requires no installation, setup, or command-line expertise. Click below to request a demo.

Resources