This article describes how the last decade has been characterized by the production of huge amounts of different types of biological data. Following that, a flood of bioinformatics tools have been published. However, many of these tools are commercial, or require computational skills. In...

Mass spectrometry (MS) is an analytical technique for determining the composition of a sample. In bottom-up techniques, peptide mass fingerprinting (PMF) is widely used to identify proteins from MS dataset. In this article, the authors developed a novel network-based inference software termed...

In this article, we obtain generic stochastic representations and asymptotic distributions of gene–gene correlations with respect to differential magnitudes, residual correlations, and sample size of experiment. Our results establish theoretical foundation for tight clustering of co-expressed...

Several computational approaches try to help the researchers to establish the correspondence between pairs of proteins of multiple 2D gel images. In this work, an approach based on block-matching techniques is developed. Its main characteristic is that it does not need to perform the whole...

A new data filtering method for SELDI-TOF MS proteomic spectra data is described. We examined technical repeats (2 per subject) of intensity versus m/z (mass/charge) of bone marrow cell lysate for two groups of childhood leukemia patients: acute myeloid leukemia (AML) and acute lymphoblastic...

This editorial describes a special issue of Statistical Applications in Genetics and Molecular Biology that presents a full report on an international competition on mass spectrometry proteomic diagnosis, recently organised at the Leiden University Medical Centre in The Netherlands.