Does GO Analysis Apply to Differential Proteins or the Whole Proteome
Gene Ontology (GO) analysis is a widely used method for characterizing and interpreting the roles of gene products in terms of their molecular functions, associated cellular components, and involvement in biological processes. It is commonly applied to analyze high-throughput gene or protein datasets generated by techniques such as microarray or mass spectrometry.
GO analysis is typically applied in the following contexts:
1. Differential Proteins or Genes
When researchers aim to identify proteins or genes that exhibit significant differences between two or more conditions (e.g., healthy versus disease states), GO analysis serves as a powerful tool to explore the functional implications of these variations.
2. The Whole Proteome or Transcriptome
In other cases, researchers may be interested in examining the overall functional distribution across the entire proteome or transcriptome. GO analysis can provide valuable insights into such global functional profiles.
Therefore, GO analysis can be conducted on both differential protein (or gene) sets and complete proteomic (or genomic) datasets.
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