Related Experiment Video
Updated: Aug 11, 2026

14:06
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
Published on: November 12, 2012
Genome-scale Gene Expression Analysis and Pathway Reconstruction in KEGG
Genome Informatics. Workshop on Genome Informatics
|November 10, 2000
Summary
DNA chips and microarrays enable genome-wide gene expression monitoring. New database systems, like KEGG, integrate this data with genomic and pathway information for pathway reconstruction.
Area of Science:
- Bioinformatics
- Genomics
- Molecular Biology
Background:
- Massively parallel hybridization technologies (DNA chips, microarrays) allow genome-wide gene expression monitoring.
- The large datasets generated require integrated database management systems.
Purpose of the Study:
- To extend existing systems (KEGG, DBGET/LinkDB) for analyzing gene expression data.
- To integrate expression data with pathway and genomic information.
Main Methods:
- Extension of KEGG (Kyoto Encyclopedia of Genes and Genomes) and DBGET/LinkDB systems.
- Integration of gene expression data with pathway and genomic databases.
Main Results:
- Developed a system for analyzing gene expression data alongside pathway and genomic information.
- Enabled the use of expression data for pathway reconstruction from complete genome sequences.
Conclusions:
- The extended KEGG and DBGET/LinkDB systems facilitate comprehensive analysis of gene expression data.
- This integration aids in reconstructing biological pathways using genomic and expression data.
Related Concept Videos
Epistasis Analysis
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
Genome-wide Association Studies-GWAS
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...

