1. iPathwayGuide expects the following three items in your differential expression input file:
2. iPathwayGuide accepts several file formats for RNA-Seq, microarrays, and proteomic profiling. Refer to the full list of accepted data formats on the next page.
3. Submit the entire list of genes, not just the significant genes.
This is important because we need to calculate the background to provide you with a comprehensive analysis of your data without false positives.
4. You will have the opportunity to customize thresholds for the significant genes after you upload.
5. Each dataset takes about 15 minutes to analyze. You will get an automated email as soon as your analysis is complete.
6. Don’t have your data ready? We have sample datasets available for each data format. Grab a sample file and try it... it's easy!
7. Uploading data is easy. Here are two quick video tutorials on how to upload data.
The differential expression data can yield insights on potential diseases enriched in the sample data. Such conclusions can be drawn by observing the number of differentially expressed genes or proteins in your data. One such computational approach is described below.
Gene Ontology (GO) is a dynamic, structured, precisely defined, controlled vocabulary used to describe the roles of genes and gene products along with their hierarchical structure in any organism.
Advaita has teamed up with SCIEX, the leader in Data Independent Acquisition (DIA) Mass Spectrometry for the collection and analysis of proteomics-based data. Through this collaboration, users can now bring their SWATH data from the SCIEX protein expression workflow and analyze it in the context of pathways, gene ontologies, microRNAs, and diseases. The power of iPathwayGuide allows you to combine
iPathwayGuide's powerful meta-analysis tool allows you to compare and contrast upto 5 differential experiments at the same time. With meta-analysis, you can rapidly identify several characteristics of your phenotype comparisons and drill down to pinpoint plausible biomarkers and signatures. Watch the video below to learn the nuts and bolts of iPathwayGuide's meta-analysis. Be sure to watch some of our webinars on the topic as well