Highlights•Examination of antimicrobial resistance is transitioning from phenotype to
genotype.•Whole genome sequencing of pathogens will become a commonplace clinical …

Manually curating knowledge from biomedical literature into structured databases is highly
expensive and time-consuming, making it difficult to keep pace with the rapid growth of the …

In the past decade, the volume of “omics” data generated by the different high‐throughput
technologies has expanded exponentially. The managing, storing, and analyzing of this big …

Motivation: Text-mining mutation information from the literature becomes a critical part of the
bioinformatics approach for the analysis and interpretation of sequence variations in …

High-throughput sequencing technology, also called next-generation sequencing (NGS),
has the potential to revolutionize the whole process of genome sequencing, transcriptomics …

The Protein Data Bank (PDB) is the worldwide repository of 3D structures of proteins, nucleic
acids and complex assemblies. The PDB's large corpus of data (> 100,000 structures) and …

Biomedical and life sciences literature is unique because of its exponentially increasing
volume and interdisciplinary nature. Biomedical literature access is essential for several …

Background: Hepatocellular carcinoma (HCC) is a common malignant tumor with high
morbidity and mortality globally. Compared with traditional diagnostic methods, microRNAs …

Gene Ontology (GO) annotation is a common task among model organism databases
(MODs) for capturing gene function data from journal articles. It is a time-consuming and …

To interpret the genetic profile present in a patient sample, it is necessary to know which
mutations have important roles in the development of the corresponding cancer type …