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KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances.KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.
Metabolomics is the scientific study of chemical processes involving metabolites, the small molecule substrates, intermediates, and products of cell metabolism. Specifically, metabolomics is the "systematic study of the unique chemical fingerprints that specific cellular processes leave behind", the study of their small-molecule metabolite ...
Metagenomics: Study of metagenomes, i.e., genetic material recovered directly from environmental samples. Neurogenomics: Study of genetic influences on the development and function of the nervous system. Pangenomics: Study of the entire collection of genes or genomes found within a given species. [14]
The first book on metabolomics was published in 2003. [5] The first journal dedicated to metabolomics (titled simply "Metabolomics") was launched in 2005 and is currently edited by Prof. Roy Goodacre. Some of the more significant early papers on metabolome analysis are listed in the references below. [6] [7] [8] [9]
A computer-assisted design (CAD) tool for synthetic biology, used to design genetic constructs based on grammar rules. Linux, macOS, Windows: Apache License 2.0 GenoCAD Team (Virginia Bioinformatics Institute) Genomespace: Centralized web application that provides data format transformations and facilitates connections with other bioinformatics ...
Metabolic engineering is the practice of optimizing genetic and regulatory processes within cells to increase the cell's production of a certain substance. These processes are chemical networks that use a series of biochemical reactions and enzymes that allow cells to convert raw materials into molecules necessary for the cell's survival.
To begin a session on MetPA users must first have a list of significant compounds derived from a metabolomic tests or compounds and concentration data with information about the phenotype of the organisms under study. The list of compounds can include common names, HMDB IDs or KEGG IDs with one compound per row. Compound concentration tables ...
The concept of biological computation proposes that living organisms perform computations, and that as such, abstract ideas of information and computation may be key to understanding biology.