The Bioinformatics Group at the University of Portsmouth was formed in 2017 by Dr. Sam Robson. We collaborate across the faculty on research projects utilising powerful techniques such as high-throughput sequencing, which require extensive processing and rigorous statistical analyses. We also work to build bioinformatics tools for use by the wider research community.
To request assistance with a project that may require an element of Bioinformatics support, please complete the Bioinformatics Pro Forma with as much detail as possible. The Bioinformatics Steering Committee will consider all requests in turn and prioritise projects as necessary.
The University of Portsmouth hosts a Bioinformatics-specific compute cluster, with well-maintained pipelines for RNA-seq, ChIP-seq, CLIP-seq, BS-seq, Exome-seq, amplicon sequencing, and other sequencing data types used by researchers throughout the University. The cluster consists of 4 compute nodes and 1 head node. The compute nodes consist of Dell PowerEdge R630 Servers with Intel Xeon E5-2650 v4 Processors (12 cores, 2.2GHz), 128GB RAM and 2x 240GB flash (SSD) storage. This provides a total of 48 cores, or 96 threads (via Hyperthreading). The head node is a Dell PowerEdge R630 Server with 2x Intel Xeon E5-2650 v4 Processors (12 cores, 2.2GHz), 384GB RAM and 2x 240GB flash (SSD) storage. Local storage is provided by a Synology RS3617RPxs NAS Server with 120TB HDD storage, connected to the compute nodes via a 10GbE Network.
Dr. Sam Robson is a Senior Research Fellow at the University of Portsmouth and is the Bioinformatics Lead at the Centre for Enzyme Innovation. Previous to his appointment, he worked as a Bioinformatician in the group of Prof. Tony Kouzarides at the Wellcome Trust/CRUK Gurdon Institute. The main research focus of the lab was to analyse the role of histone and RNA modifications, and in particular their role in diseases such as cancer. Prior to this, he held a Post-Doctoral Fellowship at the Wellcome Trust Sanger Institute in the lab of Dr. Matt Hurles. This work focused on the analysis of large scale copy-number variations in the human genome and their role in common diseases such as breast cancer and Crohn’s Disease. His background is in pure Mathematics having achieved his Bachelor’s degree at the University of Warwick, and he holds a Masters and PhD in Mathematical Biology and Biophysical Chemistry from the MOAC Doctoral Training Centre. He is a Professional Member of the International Society for Computational Biology and a Fellow of the Royal Statistical Society and holds CStat and CSci Professional qualifications.
Ongoing Bioinformatics Projects
An innovative new Research Centre to identify novel enzymatic solutions to environmental waste problems such as plastic
A network for researchers and stakeholders in local historical monuments and buildings to develop collaborative research projects with an aim to conserve, interpret, preserve and educate about our local heritage
Analysis of changes in microbial communities of Cliona celeta from Skomer Marine Nature Reserve during observed changes in sponge health using 16s rDNA sequencing
Genotyping of ancient DNA from crew members from the Mary Rose to identfy phenotypic traits and disease traits
We are currently working on a number of in-house bioinformatics tools to make these available to the wider research community
Metatranscriptomic analysis of marine biofilm composition on commercially available and novel anti-fouling substrates
Identification of differentially regulated gene pathways as a result of radiation exposure
Differential gene expression analysis in a model of Duchenne Muscular Dystrophy
Transcriptional profiling of variant histone knockdowns in Xenopus laevis
Identification of key gene pathways involved in the formation of the radula in Patella vulgata (common limpet)
A list of commercial and academic sequencing facilities used by members of the faculty
A list of commonly used tools for bioinformatics analyses
A tutorial for the use of the statistical programming language R, with a Bioinformatics leaning.
A pipeline for analysis of NGS data
Tue, Nov 7, 2017, MSc Medical Biotechnology
Fri, Jun 16, 2017, Institute of Biological and Biomedical Science Research Day