Our major new textbook on the computational aspects of proteomics is out now. All major topics are covered, including peptide sequencing and scoring, protein grouping, quantitation, PTMs, targeted proteomics, DIA, data standards, proteogenomics, and popular software frameworks. See the RSC book site for more information, or head over to Google Books to read the introduction.
Following on from the release of our all-in-one classyfire R package on CRAN, we are pleased to announce the publication of the associated paper that explains how it works. classyfire provides a simple solution to building and evaluating machine learning solutions based on support vector machine (SVM) ensembles, using a novel heuristic optimisation approach which trains SVMs in a fraction of the usual time.
We are launching a brand new MSc programme in bioinformatics here at Queen Mary University of London, starting in September 2014. This state-of-the-art course, taught by domain experts, aims to give biological and biomedical graduates the data analysis and coding skills that are essential in modern science. For more details, see the MSc Bioinformatics course page.