Functional Annotation Service

CD Genomics can help customers annotate and analyze differentially expressed genes through functional annotation services to uncover relevant biological significance, thus providing theories for basic research on diseases, pathogenesis, drug discovery, etc.

Introduction of Functional Annotation Service

Functional annotation is the process of attaching biological information to a gene sequence or protein sequence. Broadly speaking, annotation can be divided into two steps, which are homology annotation and functional classification. Homology annotation compares a sequence that needs further study with a database of known proteins and annotates the function of a homologous gene within the database as the function of that sequence.

Genome function annotation is the main research goal of functional genomics, which includes the application of bioinformatics methods to annotate the biological functions of all coding products of the genome in a high-throughput manner.

Figure 1. Generalized functional annotation workflow. (Saha S, et al., 2021)

Application Field

Functional annotation services can be used for but are not limited to the following research:

• For the annotation of biological metabolic pathways in which genes or proteins are involved.
• For biological activity, cellular composition, and molecular function annotations in which a gene or protein is involved.
• Functional annotation of microorganisms.

Functional Annotation Service Content

Gene function annotation mainly includes the prediction of structural domains in genes, protein functions, and the biological pathways in which they are located. The sequence similarity matching score method is commonly used to annotate gene functions. We are able to provide the following functional annotation services, including but not limited to:

• Identification of genome components. We can use probabilistic methods to help customers evaluate the coding possibility of unknown DNA fragments, or find coding regions through homology comparison.
• Note the functionality of all open reading boxes. We are able to assist our customers with large throughput genome functional annotation using the following three methods:

Functional annotation of advisory sequences using maximally similar homologous genes.

Using MOTIF. Modules are usually functionally relevant and conserved sequences.

Cluster of orthologous group.

• Gene interactions and comparative genomics studies. We help our customers gain a complete understanding of gene function through functional annotation.
• We can compare the gene sequence or protein sequence with mainstream databases to obtain the functional information of the gene. The databases for which we can provide sequence-matching services are as follows.

NCBI: Official Non-Redundant Protein Database	Swiss-Prot: High-quality protein database
KEGG: Metabolic Pathway Annotation Database	GO: Gene ontology annotation database
Pfam: Classification system for protein structural domain annotation	KOG: Clusters of orthologous groups for eukaryotic complete genomes

We are able to use functional annotation services to help our customers achieve high throughput data analysis in multi-omics data. For questions about analysis content, project cycle, and pricing, please click online inquiry.

How It Works

CD Genomics is a professional bioinformatics service provider with years of experience in NGS and long-read sequencing (PacBio SMRT and Oxford Nanopore platforms) data, proteomics and metabolomics data analysis, integrated analysis services, database construction, and other bioinformatics solutions.

CD Genomics has professional bioinformatics experts who have successfully provided functional annotation services to researchers in many different fields. Our professional skills and enthusiasm will provide you with high-quality analysis services. If you are interested in our services, please contact us for more details.

Reference

1. Saha S, et al. Workflows for Rapid Functional Annotation of Diverse Arthropod Genomes. Insects. 2021 Aug 19; 12(8): 748.