AI Medical Compendium Topic:
Gene Ontology

Clear Filters Showing 531 to 540 of 570 articles

Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features.

Bioinformatics (Oxford, England)
MOTIVATION: Protein subcellular localization prediction has been an important research topic in computational biology over the last decade. Various automatic methods have been proposed to predict locations for large scale protein datasets, where stat...

miRNAmeConverter: an R/bioconductor package for translating mature miRNA names to different miRBase versions.

Bioinformatics (Oxford, England)
SUMMARY: The miRBase database is the central and official repository for miRNAs and the current release is miRBase version 21.0. Name changes in different miRBase releases cause inconsistencies in miRNA names from version to version. When working wit...

Update notifications for the BioCyc collection of databases.

Database : the journal of biological databases and curation
https://BioCyc.org , https://EcoCyc.org , https://MetaCyc.org.

Biocuration in the structure-function linkage database: the anatomy of a superfamily.

Database : the journal of biological databases and curation
UNLABELLED: With ever-increasing amounts of sequence data available in both the primary literature and sequence repositories, there is a bottleneck in annotating molecular function to a sequence. This article describes the biocuration process and met...

The Vision and Challenges of the Gene Ontology.

Methods in molecular biology (Clifton, N.J.)
The overarching goal of the Gene Ontology (GO) Consortium is to provide researchers in biology and biomedicine with all current functional information concerning genes and the cellular context under which these occur. When the GO was started in the 1...

Complementary Sources of Protein Functional Information: The Far Side of GO.

Methods in molecular biology (Clifton, N.J.)
The GO captures many aspects of functional annotations, but there are other alternative complementary sources of protein function information. For example, enzyme functional annotations are described in a range of resources from the Enzyme Commission...

The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations.

Methods in molecular biology (Clifton, N.J.)
The Evidence and Conclusion Ontology (ECO) is a community resource for describing the various types of evidence that are generated during the course of a scientific study and which are typically used to support assertions made by researchers. ECO des...

Annotation Extensions.

Methods in molecular biology (Clifton, N.J.)
The specificity of knowledge that Gene Ontology (GO) annotations currently can represent is still restricted by the legacy format of the GO annotation file, a format intentionally designed for simplicity to keep the barriers to entry low and thus enc...

A Gene Ontology Tutorial in Python.

Methods in molecular biology (Clifton, N.J.)
This chapter is a tutorial on using Gene Ontology resources in the Python programming language. This entails querying the Gene Ontology graph, retrieving Gene Ontology annotations, performing gene enrichment analyses, and computing basic semantic sim...

Visualizing GO Annotations.

Methods in molecular biology (Clifton, N.J.)
Contemporary techniques in biology produce readouts for large numbers of genes simultaneously, the typical example being differential gene expression measurements. Moreover, those genes are often richly annotated using GO terms that describe gene fun...