Category: 2014 WS Online Lectures

Mixture models for analysing transcriptome and ChIP-chip data – Marie Laure Martin Magniette

Mixture models are useful for identifying underlying structures. In such models, the density of the observations is modelled by a weighted sum of parametric density (e.g. each component is a Gaussian distribution) and each one represents a subpopulation composed of … Read more

Taming the Big Data Dragon – John Quackenbush

Nearly every major scientific revolution in history has been driven by one thing: data. Today, the availability of Big Data from a wide variety of sources is transforming health and biomedical research into an information science, where discovery is driven … Read more

Loss of information at deeper divergences, and what we can do about it – Distinguished Professor David Penny

It has been shown by Mossel and Steel (2004) that simple Markov models lose information at the deepest divergences (say, greater than 400 million years ago); and that the fall‐off is exponential at deeper times. However, that does not mean … Read more

From Big Data to smart knowledge – integrating multimodal biological data and modelling metabolism – Professor Falk Schreiber

Modern data acquisition methods in the life sciences allow the procurement of different types of data in increasing quantity, facilitating a comprehensive view of biological systems. As data is usually gathered and interpreted by separate domain scientists, it is hard … Read more

The life‐sciences as a pathfinder in data‐intensive research practice – Dr Andrew Treloar

The advent of the Internet is bringing about fundamental changes in the ways that research is performed and communicated. These have been particularly driven by the growing importance of data, as well as the tools available to work with this … Read more

Multivariate models for dimension reduction and biomarker selection in omics data – Dr. Kim-Anh Le Cao

Recent advances in high throughput ’omics’ technologies enable quantitative measurements of expression or abundance of biological molecules of a whole biological system. The transcriptome, proteome and metabolome are dynamic entities, with the presence, abundance and function of each transcript, protein … Read more

Genome‐wide association studies – Professor David Evans

Genome‐wide association studies have been spectacularly successful over the last few years in terms of identifying common genetic variants associated with complex traits and diseases. David will explain how simple statistical tests can be used to map genetic loci associated … Read more

Phylogeny-based methods for analysing and comparing uncultured microbial communities – Aaron Darling

Sequencing of uncultured microbial communities via both shotgun metagenomic and 16S amplicon methods has provided great insight into the diversity of microbes and their roles in the environment and human health. The most commonly used methods for analysing such datasets … Read more

Statistical experiment design principles for biological studies – Alec Zwart

“To consult the statistician after an experiment is finished is often merely to ask them to conduct a post mortem examination. They can perhaps say what the experiment died of.” ‐ Sir Ronald Aylmer Fisher, the father of modern statistics. … Read more

NGS mapping, errors and quality control – Felicity Newell

An important step in next generation sequencing is the alignment (mapping) of the short reads that are generated to a reference genome. Tools designed for mapping are required to efficiently and accurately align each read and more than 60 applications … Read more