Learning Center – Pathway Analysis
Pathway analysis turns a list of differentially expressed genes into a defensible biological mechanism. This Learning Center track covers pathway analysis workflows, from Impact Analysis versus enrichment approaches to results grounded in peer-reviewed science, using guided methods your team can validate and reproduce. Explore the articles below to see how iPathwayGuide™ takes your gene list from differential expression to mechanistic insight, in minutes, not weeks.
Choosing Differentially Expressed (DE) Genes for the Best Results from Pathway Analysis
Choosing Differentially Expressed (DE) Genes for the Best Results from Pathway Analysis Pathway Analysis Best Practices This article will answer three key questions Investigators face when doing pathway analysis. What is the best way to choose [...]
How do I know if a pathway is “up-regulated” or “down-regulated”?
We often hear the following question: "Is there any way to know if the whole pathway or the whole GO is upregulated or downregulated? The results table shows p-values and DE numbers, but I want to know if that [...]
5 ways to analyze your omics data without paying for software
You are a life scientist undertaking cutting edge research that involves experiments in which you collect omics data: transcriptomics, genomics, proteomics, methylation, RNASeq, ATACSeq, single cell, etc. You are working on an exciting and very important problem. You have great [...]
Make sure the odds are in your favor.
In the world of bioinformatics, we all need to be careful when analyzing our data. I receive countless questions about what reference set should be used when analyzing gene expression or protein expression data.If you are thinking “what’s a reference [...]