Dr. Catchen is interested in using next-generation sequence data to study non-model and model organisms. He is also interested in how next-generation sequencing can be applied to the study of natural populations. Dr. Catchen will be providing a lecture on the use of next-generation sequencing to study non-model organisms as well as providing a laboratory exercise on how to use Stacks to build loci out of a set of short-read data.
Prof. Jose Clemente is based at the Icahn School of Medicine at Mount Sinai, New York. He is a contributing author to the QIIME (Quantitative Insights Into Microbial Ecology) software package which is one of the most popular software tools for performing metagenomic analysis. His lab at Mount Sinai is particularly focused on characterizing the mechanisms of action of the microbiome in IBD.
The goal of Dr. Cresko’s research group is to understand how changes in allele frequencies affect distributions of developmental processes in natural populations, and, once evolved, how these developmental programs alter subsequent evolutionary change. They use a variety of molecular, developmental, population and quantitative genetic approaches to address these questions. Most of the empirical work focuses on the threespine stickleback, Gasterosteus aculeatus, and members of the closely related family Syngnathidae.
Dr. Nick Loman’s research explores the use of cutting-edge genomics and metagenomics approaches to the diagnosis, treatment and surveillance of infectious disease. A more general aim is to develop bioinformatics tools to aid the interpretation of genome and metagenome-scale data in routine clinical practice in collaboration with mentor Chris Quince at the University of Glasgow.
Daniel McDonald is a graduate student within the Interdisciplinary Quantitative Biology program at the BioFrontiers Institute at the University of Colorado. He is co-advised by Dr. Rob Knight (based at the BioFrontiers Institute) and Dr. Phil Hugenholtz (based at the Australian Centre for Ecogenomics). Daniel’s primary focus is the development and improvement of the Greengenes 16S rRNA database and taxonomy, and is a core developer for the Quantitative Insights into Microbial Ecology, the BIOM-format and PyCogent packages.
Dr. Konrad Paszkiewicz is the Director of the Wellcome Trust Biomedical Informatics hub. He is a bioinformatician with a strong interest in sequencing technology and whole genome analysis for a wide variety of organisms. He is responsible for the provision of training for PhD students and researchers as well as bioinformatics facilities and capabilities within the University of Exeter.
Dr Christopher Quince is a Reader at the University of Glasgow. He leads the Computational Microbial genomics group which focuses on the development of novel algorithms to aid the analysis of microbial community structures. The group also develop engineering systems using microbial communities including microbial fuel cells and filtration systems. He is the author of PyroNoise and AmpliconNoise which are integral to the analysis of many high-throughput metagenomic datasets.
Dr. David Studholme is an Associate Professor in Bioinformatics at the University of Exeter. His research interests include applications of genomics, transcriptomics and metagenomics to plant-pathogen interactions. His recent projects have focussed on bacterial pathogens of banana, enset and tomato as well as eukaryotic (fungal and oomycete) pathogens of crops and trees.
Prof. Peter Kille is the director of Bio-Initiatives at the University of Cardiff. His primary research expertise lies in the application of molecular techniques such as proteomics and genomics to eco-toxicology. His research interests encompass the effect on biological systems of the release of heavy metals into the environment.