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Chemogenomics Staubli robot retrieves assay plates from incubators. Chemogenomics, or chemical genomics, is the systematic screening of targeted chemical libraries of small molecules against individual drug target families (e.g., GPCRs, nuclear receptors, kinases, proteases, etc.) with the ultimate goal of identification of novel drugs and drug targets. [1]
The term "genome" usually refers to the DNA (or sometimes RNA) molecules that carry the genetic information in an organism, but sometimes it is uncertain which molecules to include; for example, bacteria usually have one or two large DNA molecules (chromosomes) that contain all of the essential genetic material but they also contain smaller ...
Whereas a genome sequence lists the order of every DNA base in a genome, a genome map identifies the landmarks. A genome map is less detailed than a genome sequence and aids in navigating around the genome. [75] [76] An example of a variation map is the HapMap being developed by the International HapMap Project.
The DNA sequence assembly alone is of little value without additional analysis. [9] Genome annotation is the process of attaching biological information to sequences, and consists of three main steps: [68] identifying portions of the genome that do not code for proteins; identifying elements on the genome, a process called gene prediction, and
In molecular biology and genetics, DNA annotation or genome annotation is the process of describing the structure and function of the components of a genome, [2] by analyzing and interpreting them in order to extract their biological significance and understand the biological processes in which they participate. [3]
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.
The quality of a genome guided assembly can be measured with both 1) de novo assembly metrics (e.g., N50) and 2) comparisons to known transcript, splice junction, genome, and protein sequences using precision, recall, or their combination (e.g., F1 score). [66] In addition, in silico assessment could be performed using simulated reads. [75] [76]
The origin and evolution of metabolic gene clusters have been debated since the 1990s. [11] [12] It has since been demonstrated that metabolic gene clusters can arise in a genome by genome rearrangement, gene duplication, or horizontal gene transfer, [13] and some metabolic clusters have evolved convergently in multiple species. [14]