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Bessant Lab

News and Resources from the Bessant Bioinformatics Lab at QMUL

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Proteome Informatics book published

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.

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Doing machine learning right with classyfire

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.

Conference season

Members of the lab are presenting work at various conferences this summer. You can find us at ASMS, the Galaxy Community Conference, PMF and the RSC Bioanalytical Sensing Technologies meeting. See you there.

Spectroscopy and machine learning – a winning combination for cancer diagnostics?

In our paper out today in TrAC Trends in Analytical Chemistry we look back on a decade of research into the application of machine learning to the diagnosis of cancer from spectral data. This combination of rapid analytical technique and automated data processing offers much promise as a fast, and in some cases non-invasive, diagnostic tool. So why isn’t it used yet in clinical practice? Our conclusion was that limited sample sizes and validation undermine the outcomes of most published studies in this area, leading us to recommend larger studies and public sharing of data to advance the field. For all the details, see the paper.

New MSc Bioinformatics course in London

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.

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