Bioinformatics arose from the need to manage and extract knowledge from the vast amount of sequence data generated by automated Molecular Biology techniques. One important step for this was the development of the Gene Ontology (GO), which provided a unified and structured vocabulary to describe proteins, and also a background to compare them, contributing to the integration of knowledge from the sequence level to the system level. Several approaches have been proposed to measure protein similarity in this context, but there are few tools for this purpose available to the scientific community. We present a new web tool, ProteInOn, focused on calculating GO-based protein semantic similarity. It features a stepwise query selection menu, which ...
Motivation: While several efforts have been made in measuring GO-based protein semantic similarity,...
Measuring the semantic similarity between Gene Ontology (GO) terms is an essential step in functiona...
Living cells are controlled by proteins and genes that interact through complex molecular pathways t...
Bioinformatics arose from the need to manage and extract knowledge from the vast amount of sequence ...
Protein domains typically correspond to major functional sites of a protein. Therefore, determining ...
oai:ojs2.ctrj.in:article/1Aim: A similarity evaluation measure for Gene Ontology GO terms is develop...
Tese de mestrado em Bioinformática, apresentada à Universidade de Lisboa, através da Faculdade de Ci...
Abstract Background Semantic similarity measures are ...
There has been much interest in uncovering protein-protein interactions and their underlying domain-...
AbstractExisting methods for computing the semantic similarity between Gene Ontology (GO) terms are ...
<div><p>Background</p><p>Explicit comparisons based on the semantic similarity of Gene Ontology term...
The study of protein–protein interaction and the determination of protein functions are important pa...
The current increase in Gene Ontology (GO) annotations of proteins in the existing genome databases ...
MOTIVATION: Numerous annotations are available that functionally characterize genes and proteins wit...
Several approaches have been proposed for computing term information content (IC) and semantic simil...
Motivation: While several efforts have been made in measuring GO-based protein semantic similarity,...
Measuring the semantic similarity between Gene Ontology (GO) terms is an essential step in functiona...
Living cells are controlled by proteins and genes that interact through complex molecular pathways t...
Bioinformatics arose from the need to manage and extract knowledge from the vast amount of sequence ...
Protein domains typically correspond to major functional sites of a protein. Therefore, determining ...
oai:ojs2.ctrj.in:article/1Aim: A similarity evaluation measure for Gene Ontology GO terms is develop...
Tese de mestrado em Bioinformática, apresentada à Universidade de Lisboa, através da Faculdade de Ci...
Abstract Background Semantic similarity measures are ...
There has been much interest in uncovering protein-protein interactions and their underlying domain-...
AbstractExisting methods for computing the semantic similarity between Gene Ontology (GO) terms are ...
<div><p>Background</p><p>Explicit comparisons based on the semantic similarity of Gene Ontology term...
The study of protein–protein interaction and the determination of protein functions are important pa...
The current increase in Gene Ontology (GO) annotations of proteins in the existing genome databases ...
MOTIVATION: Numerous annotations are available that functionally characterize genes and proteins wit...
Several approaches have been proposed for computing term information content (IC) and semantic simil...
Motivation: While several efforts have been made in measuring GO-based protein semantic similarity,...
Measuring the semantic similarity between Gene Ontology (GO) terms is an essential step in functiona...
Living cells are controlled by proteins and genes that interact through complex molecular pathways t...