KEGG Pathway Analysis Service
CD ComputaBio is proud to offer a comprehensive KEGG pathway annotation analysis service designed to support researchers in the field of bioinformatics and systems biology. The Kyoto Encyclopedia of Genes and Genomes (KEGG) serves as a prominent resource for understanding biological functions and pathways interconnected within cellular systems. Our advanced service provides detailed insights into metabolic pathways, signal transduction, disease mechanisms, and complex networks, assisting researchers and professionals in data interpretation and hypothesis generation.
Introduction to KEGG Pathway Analysis
The rapid expansion of genomic and transcriptomic sequencing technologies has resulted in an overwhelming volume of biological data. Understanding how these genes and proteins interact within biological pathways is crucial for advancing research in various domains such as medicine, agriculture, and environmental science. KEGG pathway annotation focuses on associating genes and proteins with specific biological pathways, providing context about the systems they operate within. At CD ComputaBio, we utilize cutting-edge computational approaches and software tools to facilitate effective KEGG pathway annotation analysis.
Figure 1. KEGG Pathway Annotation Analysis Service.
Our Service
At CD ComputaBio, we utilize cutting-edge computational approaches and software tools to facilitate effective KEGG pathway annotation analysis.
Pathway Enrichment Analysis
CD ComputaBio's pathway enrichment analysis service identifies significantly enriched KEGG pathways in a given set of genes or proteins. This analysis helps researchers understand which biological processes are over-represented in their data and provides insights into the potential functions of the genes or proteins of interest.
Pathway Visualization
Our pathway visualization service provides intuitive and interactive visualizations of KEGG pathways. This allows researchers to easily understand the complex relationships between genes and proteins within a pathway and identify key nodes and interactions.
Comprehensive Pathway Mapping
Our service offers detailed mapping of genes, proteins, and reactions onto KEGG pathways. This encompasses the identification of metabolic and signaling pathways associated with your data, ensuring a thorough understanding of the biological context that underlies your research.
Integration of Multi-Omics Data
We specialize in combining various omics datasets (genomics, transcriptomics, proteomics, and metabolomics) for a holistic view of biological systems. Our multi-omics integration enhances pathway analysis, allowing for unique insights into the regulatory mechanisms of cellular functions.
Software We Use
KEGG Mapper
This tool assists researchers in generating customizable pathway maps that depict the interactions and functions of genes pertinent to their studies.
DAVID
The Database for Annotation, Visualization, and Integrated Discovery (DAVID) is employed for functional annotation and enrichment analysis.
Approaches to KEGG Pathway Annotation Analysis Service
Statistical Approaches
We use statistical methods such as hypergeometric distribution and false discovery rate correction to calculate the significance of pathway enrichment. These methods are widely used in bioinformatics.
Network Analysis Approaches
We use network analysis techniques to study the interactions between genes and proteins within KEGG pathways. Network analysis can identify key nodes and interactions in a pathway.
Machine Learning Approaches
CD ComputaBio employs machine learning algorithms to predict the involvement of genes or proteins in specific KEGG pathways. These algorithms can learn from large amounts of training data and make accurate predictions on new datasets.
Advantages of Our Services
KEGG pathway annotation analysis is a powerful tool for understanding the biological functions and interactions of genes and proteins. CD ComputaBio offers comprehensive KEGG pathway annotation analysis services, leveraging advanced computational modeling techniques and software tools. Our feature services, approaches, and advantages make us an ideal partner for researchers and organizations in the fields of biology, medicine, and biotechnology. Contact us today to learn more about our services and how we can help you achieve your research goals.
References:
- Zhong C, Yu Q, Peng Y, et al. Novel LncRNA OXCT1-AS1 indicates poor prognosis and contributes to tumorigenesis by regulating miR-195/CDC25A axis in glioblastoma. Journal of Experimental & Clinical Cancer Research, 2021, 40: 1-16.
* For Research Use Only.
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