AIMC Topic: Molecular Sequence Annotation

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Using the Gene Ontology to Annotate Key Players in Parkinson's Disease.

Neuroinformatics
The Gene Ontology (GO) is widely recognised as the gold standard bioinformatics resource for summarizing functional knowledge of gene products in a consistent and computable, information-rich language. GO describes cellular and organismal processes a...

Ontology-Based Prediction and Prioritization of Gene Functional Annotations.

IEEE/ACM transactions on computational biology and bioinformatics
Genes and their protein products are essential molecular units of a living organism. The knowledge of their functions is key for the understanding of physiological and pathological biological processes, as well as in the development of new drugs and ...

Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations.

IEEE/ACM transactions on computational biology and bioinformatics
Gene Ontology (GO) is a structured repository of concepts (GO Terms) that are associated to one or more gene products through a process referred to as annotation. The analysis of annotated data is an important opportunity for bioinformatics. There ar...

Using Semantic Similarities and csbl.go for Analyzing Microarray Data.

Methods in molecular biology (Clifton, N.J.)
Cellular phenotypes result from the combined effect of multiple genes, and high-throughput techniques such as DNA microarrays and deep sequencing allow monitoring this genomic complexity. The large scale of the resulting data, however, creates challe...

Exploiting ontology graph for predicting sparsely annotated gene function.

Bioinformatics (Oxford, England)
MOTIVATION: Systematically predicting gene (or protein) function based on molecular interaction networks has become an important tool in refining and enhancing the existing annotation catalogs, such as the Gene Ontology (GO) database. However, functi...

A Machine Learning Approach for Accurate Annotation of Noncoding RNAs.

IEEE/ACM transactions on computational biology and bioinformatics
Searching genomes to locate noncoding RNA genes with known secondary structure is an important problem in bioinformatics. In general, the secondary structure of a searched noncoding RNA is defined with a structure model constructed from the structura...

P-Finder: Reconstruction of Signaling Networks from Protein-Protein Interactions and GO Annotations.

IEEE/ACM transactions on computational biology and bioinformatics
Because most complex genetic diseases are caused by defects of cell signaling, illuminating a signaling cascade is essential for understanding their mechanisms. We present three novel computational algorithms to reconstruct signaling networks between...