Functional annotation and enrichment analysis has been widely used in bioinformatics of omics research. Creative Proteomics can provide our customers multiple functional annotation and enrichment analysis services, such as GO annotation and enrichment analysis, KEGG annotation and enrichment analysis, COG/KOG annotation, domain annotation and enrichment analysis, and subcellular localization. As one of the leading omics industry company in the world, we are open to help you with Functional Annotation and Enrichment Analysis Service.
Functional annotation is the process of attaching biological information to sequences of genes or proteins. The basic level of annotation is using sequence alignment tool BLAST for finding similarities, and then annotating genes or proteins based on that. Nevertheless, nowadays more and more additional information of biological functions is added to the annotation system. The additional information allows hand-operated annotation to distinguish genes or proteins that have the same annotation. With many genomes sequenced, computational annotation approaches to characterize genes and proteins from their sequence are increasingly important.
Functional annotation consists of three main steps:
- Identifying portions of the genome that do not code for proteins
- Identifying elements on the genome, a process called gene prediction
- Attaching biological information to these elements.
Functional enrichment analysis is a method to determine classes of genes or proteins that are over-represented in a large group of genes or proteins, and may have relations with disease phenotypes. This approach uses statistical methods to determine significantly enriched groups of genes. In GSEA, DNA microarrays, or RNA-Seq, are still carried out and compared between two distinct categories, but focusing on a gene set instead of a single gene in a long list. Researchers analyze whether the most of genes in the set is located in the extremes of the list: The top and bottom of the list represent the largest differences in expression between the two types. If the gene set falls at either the top (over-expressed) or bottom (under-expressed), it is considered to be related to the phenotypic differences.
The general steps of enrichment analysis provided by Creative Proteomics are summarized below:
- Calculate a p-value that represents the amount to which the proteins in the set are over-represented at either the top or bottom of the list.
- Evaluate the statistical significance of a node or pathway based on the p-value.
- P-value for each set is normalized and a false discovery rate is calculated for multiple hypothesis testing.
Up to date, functional annotation and enrichment analysis has obtained Important achievements in variety of scientific research fields, such as:
- Cancer cell profiling
- Complex disorders (such as schizophrenia)
- Spontaneous preterm birth
- Genome-wide association studies
Creative Proteomics can provide the following services:
- GO annotation analysis
- GO enrichment analysis
- Directed acyclic graph (DAG)
- KEGG pathway annotation
- KEGG pathway enrichment
- COG annotation
- KOG annotation
- Domain annotation
- Domain enrichment
- Subcellular localization
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Now, bioinformaticians at Creative Proteomics is opening to provide our customers functional annotation and enrichment analysis service. With years of experience in the computational sciences and knowledge of these powerful technologies, you will find what you need from the best. Contact Us for all the detailed information!