Motivation: Biomarker discovery is an important topic in biomedical applications of
computational biology, including applications such as gene and SNP selection from high-dimensional …

Advances in modern sequencing technologies allow us to generate sufficient data to analyze
hundreds of bacterial genomes from a single machine in a single day. This potential for …

Robustness or stability of feature selection techniques is a topic of recent interest, and is an
important issue when selected feature subsets are subsequently analysed by domain …

We have taken the first steps towards a complete reconstruction of the Mycobacterium
tuberculosis regulatory network based on ChIP-Seq and combined this reconstruction with system-…

Background The continued advance of antibiotic resistance threatens the treatment and
control of many infectious diseases. This is exemplified by the largest global outbreak of …

Multidrug-resistant tuberculosis (MDR-TB), caused by drug-resistant strains of Mycobacterium
tuberculosis, is an increasingly serious problem worldwide. Here we examined a data set …

Despite many recent efforts, in silico identification of promoter regions is still in its infancy.
However, the accurate identification and delineation of promoter regions is important for …

The transcriptional coactivator ANGUSTIFOLIA3 (AN3) stimulates cell proliferation during
Arabidopsis thaliana leaf development, but the molecular mechanism is largely unknown. Here…

Java-ML is a collection of machine learning and data mining algorithms, which aims to be a
readily usable and easily extensible API for both software developers and research scientists…

A more complete understanding of the genetic basis of drug resistance in Mycobacterium
tuberculosis is critical for prompt diagnosis and optimal treatment, particularly for toxic second-…