AI Medical Compendium Topic:
Databases, Genetic

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mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support.

Database : the journal of biological databases and curation
Enzymes active on components of lignocellulosic biomass are used for industrial applications ranging from food processing to biofuels production. These include a diverse array of glycoside hydrolases, carbohydrate esterases, polysaccharide lyases and...

HPOSim: an R package for phenotypic similarity measure and enrichment analysis based on the human phenotype ontology.

PloS one
BACKGROUND: Phenotypic features associated with genes and diseases play an important role in disease-related studies and most of the available methods focus solely on the Online Mendelian Inheritance in Man (OMIM) database without considering the con...

16S classifier: a tool for fast and accurate taxonomic classification of 16S rRNA hypervariable regions in metagenomic datasets.

PloS one
The diversity of microbial species in a metagenomic study is commonly assessed using 16S rRNA gene sequencing. With the rapid developments in genome sequencing technologies, the focus has shifted towards the sequencing of hypervariable regions of 16S...

PhenoMiner: a quantitative phenotype database for the laboratory rat, Rattus norvegicus. Application in hypertension and renal disease.

Database : the journal of biological databases and curation
Rats have been used extensively as animal models to study physiological and pathological processes involved in human diseases. Numerous rat strains have been selectively bred for certain biological traits related to specific medical interests. Recent...

Extracting Various Classes of Data From Biological Text Using the Concept of Existence Dependency.

IEEE journal of biomedical and health informatics
One of the key goals of biological natural language processing (NLP) is the automatic information extraction from biomedical publications. Most current constituency and dependency parsers overlook the semantic relationships between the constituents c...

imDC: an ensemble learning method for imbalanced classification with miRNA data.

Genetics and molecular research : GMR
Imbalances typically exist in bioinformatics and are also common in other areas. A drawback of traditional machine learning methods is the relatively little attention given to small sample classification. Thus, we developed imDC, which uses an ensemb...

A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data.

BMC genomics
BACKGROUND: Investigations into novel biomarkers using omics techniques generate large amounts of data. Due to their size and numbers of attributes, these data are suitable for analysis with machine learning methods. A key component of typical machin...

Integration of a prognostic gene module with a drug sensitivity module to identify drugs that could be repurposed for breast cancer therapy.

Computers in biology and medicine
BACKGROUND: Efficiently discovering low risk drugs is important for drug development. However, the heterogeneity in patient population complicates the prediction of the therapeutic efficiency. Drug repositioning aiming to discover new indications of ...

Gene Ontology Consortium: going forward.

Nucleic acids research
The Gene Ontology (GO; http://www.geneontology.org) is a community-based bioinformatics resource that supplies information about gene product function using ontologies to represent biological knowledge. Here we describe improvements and expansions to...