Sentences with phrase «gene ontology»
"Gene ontology" refers to a system used to categorize and understand the functions of genes. It helps scientists organize and describe the different roles genes play in various biological processes. Full definition
Annotations in CharProtDB include gene name, symbol and various controlled vocabulary terms, including Gene Ontology terms, Enzyme Commission number and TransportDB accession.
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Heat maps showing different gene expression patterns (color scale represents the fold change) using gene ontology (GO) analyses to compare the transcriptomes of the rope versus gill (A; P < 0.05, false discovery rate ≤ 0.1) or muscle tissues (B; P < 0.05, false discovery rate ≤ 0.1) in mature male sea lamprey.
The principal component analysis revealed that aging explains ~ 16 % of protein expression variability and is associated with Gene Ontology terms transmembrane, integral / intrinsic membrane, endoplasmic reticulum and mitochondrion.
A common approach is to sort genes by gene ontology (GO)[9] category and speculate on their likely function, involvement in potential pathways, and reasons for being under selection.
We analyzed overrepresentation of Gene Ontology (GO) terms in the non-redundant genes that were overexpressed in the V+S − and V+S + fractions based on 1.5-fold change with a 0.05 FDR (Tables S2 and S3).
Click «Gene Ontology Details» to view all GO information and evidence for this locus as well as biological processes it shares with other genes.
These databases included Gene Ontology (containing data on genes and gene products), MeSH (focused on diseases and symptoms), Entrez Gene (gene - centered information) and OMIM (human genes and genetic disorders).
Gene ontology analysis on significantly different genes was performed on the FlyMine online database (46).
Functional Enrichment with Gene Ontology was performed using DAVID [31].
In the first project, I explore characteristics of rare, de novo copy number variants identified among autism patients by employing various bioinformatics resources including Mouse Genome Informatics phenotypes, Gene Ontology terms, and protein - protein interactions.
The most famous is the gene ontology, in which categories are assigned to genes based on their cellular location, molecular function, and biological process.
Among other things, the gene ontology has allowed researchers to efficiently ask, «What kind of genes are up - regulated under these conditions?»
The gene ontology was a success because it allowed researchers to categorize genes quickly, as well as because it is useful in the analysis of many large scale analyses (for example, microarray experiments).
In this study, genes identified as differentially expressed by SAM analysis were examined for their biologic association to the gene ontology (GO) categories [34] as defined by the GO Consortium [33].
In addition, the Alliance includes the Gene Ontology (GO) Consortium.
The Alliance brings together the efforts of the major National Institutes of Health (NIH) National Human Genome Research Institute (NHGRI)- funded Model Organism Database (MOD) groups, and the Gene Ontology (GO) Consortium, in a synergistic integration of expertly - curated information about the functioning of cellular systems.
Gene Ontology terms were computationally assigned to the genes based on Drosophila GO annotations via sequence homology, or Pfam domain matches above the trusted cutoff.
An approach for the identification of targets specific to bone metastasis using cancer genes interactome and gene ontology analysis
GO Annotations consist of four mandatory components: a gene product, a term from one of the three Gene Ontology (GO) controlled vocabularies (Molecular Function, Biological Process, and Cellular Component), a reference, and an evidence code.
In addition to official symbols and aliases, BioGPS supports most common public gene identifiers, including Entrez Gene, Ensembl, Uniprot, Refseq, UniGene, Gene Ontology, PDB, and Interpro.
Gene Ontology (GO) terms over-represented among genes overexpressed in the V+S − fraction compared to V − S −.
Gene ontology (GO) enrichment analysis revealed a statistically significant overrepresentation of genes associated with the GO categories: «nervous system development» (GO: 0007399) and «neuron projection» (GO: 0043005)(Table 1).
Many of the model organism databases (MODs) used by members of the GSA community — including FlyBase, WormBase, SGD, ZFIN, and MGI — have been supported by NIH's National Human Genome Research Institute (NHGRI), along with others supporting human and other research — such as OMIM, the Gene Ontology Consortium, and UniProt.
We integrate functional genomic datasets with up - to - date gene and genome annotations, Gene Ontology and pathway annotations, gene orthologs, gene interactions, and a comprehensive set of miRNA - target predictions for human, mouse, zebrafish, and nematode.