Common functional analysis methods for genes (proteins) include metabolic signaling pathways (pathway) and GO (gene ontology) analysis. In addition, there are COG (Clusters of Orthologous Groups of proteins), protein domain (protein domain), and other analyses. The application of functional analysis is very common. Taking pathway analysis as an example, its related documents are increasing year by year. Therefore, gene function analysis is a prevalent and important analysis content. GO mainly studies gene function, while pathway studies gene and protein function. GO functions are mainly divided into three categories: BP (Biological process), MF (molecular function) and CC (cell composition); among them, the most commonly used is GO BP analysis. Common pathway data includes KEGG, Reactome, Biocarta, etc.
Functional analysis is mainly divided into two categories: functional annotation analysis and functional enrichment analysis.
Functional annotation consists of three main steps:
The general steps of enrichment analysis provided by ComputaBio are summarized below:
|Project name||Gene Function Annotation and Function Enrichment Analysis Service|
|Samples requirements||Our gene function annotation and function enrichment analysis service require you to provide specific requirements.|
|Screening cycle||Decide according to your needs.|
|Service including||We provide you with raw data and analysis service.|
ComputaBio' gene function annotation and function enrichment analysis can reduce the cost of later experimental screening. Gene function annotation and function enrichment analysis is a personalized and customized innovative scientific research service. Before determining the corresponding analysis plan and price, each project needs to be evaluated. If you want to know more about service prices or technical details, please feel free to contact us.