Omics is a bioinformatics research field to understand all the biological information processing phenomena on Earth.
Omics can be defined as the biological study of everything that is related to life.
Definition of Omics:
Omics is a general term for a broad discipline of science and engineering for analysing the interactions of biological information objects in various omes in biology. These include genomics, proteomics, metabolomics, expressomics and interactomics. The main focus is on 1) mapping information objects such as genes and proteins, 2) finding interaction relationships among the objects and 3) engineering the networks and objects to understand and manipulate the regulatory mechanisms.
- The Prefix- and -Suffix of bioinformatics: Bio- and -Omics
- Difference from Systems Biology and Bioinformatics
Systems biology is “biology” that focuses on complex systems in life.
Omics focuses on large scale and holistic data/information to understand life in encapsulated omes (in many distinct biolayers)
Bioinformatics is an information science that analyzes life processes using computational tools for solving biological problems and give direction/overview in biology. See the definition of bioinformatics in Bioinformatics.ws
Definition of omics
A new biological research paradigm to produce knowledge en masse from the networks of information objects in holistic principles and methods deviating from reductionism.
An omics is a neologism referring to a field of study in biology, ending in the suffix -omics such as genomics, proteomics or Interactomics. The related neologism omes are the objects of study of the field such the genome or proteome, respectively (omes stems from the Greek for 'all', 'every', 'whole' or 'complete').
The original use of the suffix "ome" was in the word "Biome". Later, "genome" became a popular word for the complete genetic makeup of an organism. Because of the use of ome succinctly describes the new way of holistic analysis of complete genomes and proteomes, the trend of putting omics became wide spread in and around 1995 by bioinformatists in Cambridge, Standford, Yale, Harvard and so on. Ome and omics are very convenient to describe holistic way of looking at complex systems. This omics view of nature and systems also well corresponds to eastern philosophy such as I-ching. Bioinformaticians/Bioinformatists and some molecular biologists were amongst the first scientists to start applying the "ome" suffix widely. In the mid 1990's bioinformatists started realizing the convenience of -omics and termed many fields such as metabolome, textome, interactome, bacteriome, eukaryome, functome, patentome, neurome and so on. Omics marks the realization of the importance of information processing in biology that was proposed by many biologists. It was only possible by the advent of personal computers and personal computer operating systems such as Windows, Linux and Apple.
This was because they were in the perfect position of looking at large scale data with most efficient analysis tools. Essentially, this was the era of bioinformatic exploration of biological ideas and concepts. * Biological omics in alphabetical order
Common omes and omics
Some of the more common "omes" are now well-established within biomics and genomics, having shaken their putative origins as buzzwords: * Biome is the top level ome in biology. Biome is one of the oldest terms, but it did not cause the explosion of -omics as it had been used by small group of biologists (not by bioinformatists). Biomics is the study of biome. See Biome.org * Biolome is the whole set of biological entities such as protein, DNA, RNA and small biologically important molecules. Biolome includes, for example, proteome.
- The Proteome is the totality of proteins (expressed genes) in an organism, tissue type or cell, and proteomics is now well-established as a term for studying the proteome.
- Interactome is the study of molecular interactions in a holistic fashion. See Interactome.ORG
- The Glycome is the total list of sugar (carbohydrate) molecules in an organism, and glycomics (sometimes glycobiology) has become an established term.
- Ligandome is the whole set of ligands in biological cells, tissues or species. See Ligandome.ORG
- The Transcriptome is the mRNA complement of an entire organism, tissue type, or cell; the associated field is Transcriptomics;
- The Metabolome is the totality of metabolites in an organism; the associated field is metabolomics;
- The Lipidome is the totality of lipids; the associated field is Lipidomics; * Localizome. The whole set of localization information of protein domains and proteins.
- The Spliceome (see spliceosome) is the totality of the alternative splicing protein isoforms; the associated field is spliceomics.
- Textome: The body of scientific literature which can be analysed by text mining. Textomics: The study of the textome. See Textome.ORG * Kinome: The totality of protein kinases in a cell. Kinomics: The study of the kinome. Publications exist. * Glycosilome: Related to glycosylation. Glycosilomics: The associated field of study.
- Physiome: Related to physiology. Physiomics: The associated field of study.
- Neurome: The complete neural makeup of an organism. Something a neurobiologist might be heard to say in the future. Neuromics: The study of the neurome. See Neurome.ORG
- Patentome (Patentomics): The whole set of sequences and structured patented. See Patenome.ORG
- Predictome: A complete set of predictions. BU Predictome
- Reactionome : The complete set of biological reactions in cells, biological tissues or organisms.
- Reactome: A Knowledgebase of Biological Processes.
- Sociome and sociomics: a proposed new name for sociology.
- Econome: an economy (see economics).
List of -omics in science