Motivation: The accurate identification of chemicals in text is important for many applications,
including computer-assisted reconstruction of metabolic networks or retrieval of information …

Background: The goal of the gene normalization task is to link genes or gene products
mentioned in the literature to biological databases. This is a key step in an accurate search …

Motivation: Text mining in the biomedical domain aims at helping researchers to access
information contained in scientific publications in a faster, easier and more complete way …

Background To access and utilize the rich information contained in the biomedical literature,
the ability to recognize and normalize gene mentions referenced in the literature is crucial. In …

The paper presents a machine-learning based approach to text-to-ontology mapping. We
explore a possibility of matching texts to the relevant ontologies using a combination of …

Background Although there is an enormous number of textual resources in the biomedical
domain, currently, manually curated resources cover only a small part of the existing …

Background The automated extraction of gene and/or protein interactions from the literature
is one of the most important targets of biomedical text mining research. In this paper we …

Introduction: MicroRNAs (miRNAs) have demonstrated their potential as post-transcriptional
gene expression regulators, participating in a wide spectrum of regulatory events such as …

Background: Research scientists and companies working in the domains of biomedicine
and genomics are increasingly faced with the problem of efficiently locating, within the vast …

Abstract Background Single Nucleotide Polymorphisms, among other type of sequence
variants, constitute key elements in genetic epidemiology and pharmacogenomics. While …