Gene Ontology Resource
2024年11月3日 · The Gene Ontology (GO) project is a major bioinformatics initiative to develop a computational representation of our evolving knowledge of how genes encode biological …
Gene Ontology (GO) - UniProt
The Gene Ontology (GO) describes knowledge of the biological domain with respect to three aspects: Molecular function; Biological process; Cellular component; A variety of groups, …
Gene Ontology - biological_process - Classes | NCBO BioPortal
2024年11月12日 · A biological process is the execution of a genetically-encoded biological module or program. It consists of all the steps required to achieve the specific biological …
Gene Ontology overview
The GO is organized in three aspects: Molecular Function (MF), Cellular Component (CC), and Biological Process (BP). MFs represent molecular-level activities performed by gene products, …
GO enrichment analysis - Gene Ontology Resource
One of the main uses of the GO is to perform enrichment analysis on gene sets. For example, given a set of genes that are up-regulated under certain conditions, an enrichment analysis will …
biological_process Gene Ontology Term (GO:0008150) - The …
2024年12月10日 · The Gene Ontology (GO) project is a collaborative effort to address the need for consistent descriptions of gene products across databases. You can use this browser to …
Gene Ontology (GO) TOOLS
The objective of GO is to provide controlled vocabularies for the description of the biological process, molecular function, and cellular component of gene products. These terms are to be …
Annotation Guidelines - GO Wiki - Gene Ontology
2022年10月5日 · Standard GO annotations are defined as an association between a gene and a biological concept from one of the three GO aspects: Molecular Function (MF), Biological …
ShinyGO 0.81 - South Dakota State University
The Gene Ontology (GO) includes tens of thousands of terms (functional categories), each tested individually for enrichment. Hundreds or even thousands of GO terms can be statistically …
Exploratory Gene Ontology Analysis with Interactive Visualization
2019年5月24日 · Scientists rely on the functional annotations in the GO for hypothesis generation and couple it with high-throughput biological data to enhance interpretation of results.
- 某些结果已被删除