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Gene Ontology

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Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genes.

BMC genomics
BACKGROUND: Alzheimer's disease (AD) is a complex progressive neurodegenerative disorder commonly characterized by short term memory loss. Presently no effective therapeutic treatments exist that can completely cure this disease. The cause of Alzheim...

Detecting Essential Proteins Based on Network Topology, Gene Expression Data, and Gene Ontology Information.

IEEE/ACM transactions on computational biology and bioinformatics
The identification of essential proteins in protein-protein interaction (PPI) networks is of great significance for understanding cellular processes. With the increasing availability of large-scale PPI data, numerous centrality measures based on netw...

Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data.

IEEE/ACM transactions on computational biology and bioinformatics
Characterizing genes with semantic information is an important process regarding the description of gene products. In spite that complete genomes of many organisms have been already sequenced, the biological functions of all of their genes are still ...

Symbiont modulates expression of specific gene categories in Angomonas deanei.

Memorias do Instituto Oswaldo Cruz
Trypanosomatids are parasites that cause disease in humans, animals, and plants. Most are non-pathogenic and some harbor a symbiotic bacterium. Endosymbiosis is part of the evolutionary process of vital cell functions such as respiration and photosyn...

Brief isoflurane anaesthesia affects differential gene expression, gene ontology and gene networks in rat brain.

Behavioural brain research
Much is still unknown about the mechanisms of effects of even brief anaesthesia on the brain and previous studies have simply compared differential expression profiles with and without anaesthesia. We hypothesised that network analysis, in addition t...

Predicting protein subcellular localization based on information content of gene ontology terms.

Computational biology and chemistry
Predicting the location where a protein resides within a cell is important in cell biology. Computational approaches to this issue have attracted more and more attentions from the community of biomedicine. Among the protein features used to predict t...

NoisyGOA: Noisy GO annotations prediction using taxonomic and semantic similarity.

Computational biology and chemistry
Gene Ontology (GO) provides GO annotations (GOA) that associate gene products with GO terms that summarize their cellular, molecular and functional aspects in the context of biological pathways. GO Consortium (GOC) resorts to various quality assuranc...

GeneSCF: a real-time based functional enrichment tool with support for multiple organisms.

BMC bioinformatics
BACKGROUND: High-throughput technologies such as ChIP-sequencing, RNA-sequencing, DNA sequencing and quantitative metabolomics generate a huge volume of data. Researchers often rely on functional enrichment tools to interpret the biological significa...

Tissue enrichment analysis for C. elegans genomics.

BMC bioinformatics
BACKGROUND: Over the last ten years, there has been explosive development in methods for measuring gene expression. These methods can identify thousands of genes altered between conditions, but understanding these datasets and forming hypotheses base...

Gene Ontology synonym generation rules lead to increased performance in biomedical concept recognition.

Journal of biomedical semantics
BACKGROUND: Gene Ontology (GO) terms represent the standard for annotation and representation of molecular functions, biological processes and cellular compartments, but a large gap exists between the way concepts are represented in the ontology and ...