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Gene Ontology

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Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic Nets.

IEEE/ACM transactions on computational biology and bioinformatics
Membrane proteins play important roles in various biological processes within organisms. Predicting the functional types of membrane proteins is indispensable to the characterization of membrane proteins. Recent studies have extended to predicting si...

Dynamic identifying protein functional modules based on adaptive density modularity in protein-protein interaction networks.

BMC bioinformatics
BACKGROUND: The identification of protein functional modules would be a great aid in furthering our knowledge of the principles of cellular organization. Most existing algorithms for identifying protein functional modules have a common defect -- once...

Protein complex detection in PPI networks based on data integration and supervised learning method.

BMC bioinformatics
BACKGROUND: Revealing protein complexes are important for understanding principles of cellular organization and function. High-throughput experimental techniques have produced a large amount of protein interactions, which makes it possible to predict...

Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble.

BMC bioinformatics
BACKGROUND: It has become a very important and full of challenge task to predict bacterial protein subcellular locations using computational methods. Although there exist a lot of prediction methods for bacterial proteins, the majority of these metho...

PPDB: A Tool for Investigation of Plants Physiology Based on Gene Ontology.

Interdisciplinary sciences, computational life sciences
Representing the way forward, from functional genomics and its ontology to functional understanding and physiological model, in a computationally tractable fashion is one of the ongoing challenges faced by computational biology. To tackle the standpo...

Multimodal probabilistic generative models for time-course gene expression data and Gene Ontology (GO) tags.

Mathematical biosciences
We propose four probabilistic generative models for simultaneously modeling gene expression levels and Gene Ontology (GO) tags. Unlike previous approaches for using GO tags, the joint modeling framework allows the two sources of information to comple...

GoFDR: A sequence alignment based method for predicting protein functions.

Methods (San Diego, Calif.)
In this study, we developed a method named GoFDR for predicting Gene Ontology (GO)-based protein functions. The input for GoFDR is simply a query sequence-based multiple sequence alignment (MSA) produced by PSI-BLAST. For each GO term annotated to th...

MetazSecKB: the human and animal secretome and subcellular proteome knowledgebase.

Database : the journal of biological databases and curation
The subcellular location of a protein is a key factor in determining the molecular function of the protein in an organism. MetazSecKB is a secretome and subcellular proteome knowledgebase specifically designed for metazoan, i.e. human and animals. Th...

Representing virus-host interactions and other multi-organism processes in the Gene Ontology.

BMC microbiology
BACKGROUND: The Gene Ontology project is a collaborative effort to provide descriptions of gene products in a consistent and computable language, and in a species-independent manner. The Gene Ontology is designed to be applicable to all organisms but...

A mutation profile for top-k patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization.

Bioinformatics (Oxford, England)
MOTIVATION: As the quantity of genomic mutation data increases, the likelihood of finding patients with similar genomic profiles, for various disease inferences, increases. However, so does the difficulty in identifying them. Similarity search based ...